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| 1 | // | ||
| 2 | // Copyright (c) 2017 CNRS | ||
| 3 | // | ||
| 4 | // This file is part of tsid | ||
| 5 | // tsid is free software: you can redistribute it | ||
| 6 | // and/or modify it under the terms of the GNU Lesser General Public | ||
| 7 | // License as published by the Free Software Foundation, either version | ||
| 8 | // 3 of the License, or (at your option) any later version. | ||
| 9 | // tsid is distributed in the hope that it will be | ||
| 10 | // useful, but WITHOUT ANY WARRANTY; without even the implied warranty | ||
| 11 | // of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | ||
| 12 | // General Lesser Public License for more details. You should have | ||
| 13 | // received a copy of the GNU Lesser General Public License along with | ||
| 14 | // tsid If not, see | ||
| 15 | // <http://www.gnu.org/licenses/>. | ||
| 16 | // | ||
| 17 | |||
| 18 | #include <iostream> | ||
| 19 | |||
| 20 | #include <boost/test/unit_test.hpp> | ||
| 21 | #include <boost/utility/binary.hpp> | ||
| 22 | |||
| 23 | #include <tsid/solvers/solver-HQP-factory.hxx> | ||
| 24 | #include <tsid/solvers/solver-HQP-eiquadprog.hpp> | ||
| 25 | #include <tsid/solvers/solver-HQP-eiquadprog-rt.hpp> | ||
| 26 | |||
| 27 | #ifdef TSID_WITH_PROXSUITE | ||
| 28 | #include <tsid/solvers/solver-proxqp.hpp> | ||
| 29 | #endif | ||
| 30 | #ifdef TSID_WITH_OSQP | ||
| 31 | #include <tsid/solvers/solver-osqp.hpp> | ||
| 32 | #endif | ||
| 33 | #ifdef TSID_QPMAD_FOUND | ||
| 34 | #include <tsid/solvers/solver-HQP-qpmad.hpp> | ||
| 35 | #endif | ||
| 36 | |||
| 37 | #include <tsid/math/utils.hpp> | ||
| 38 | #include <tsid/math/constraint-equality.hpp> | ||
| 39 | #include <tsid/math/constraint-inequality.hpp> | ||
| 40 | #include <tsid/math/constraint-bound.hpp> | ||
| 41 | #include <tsid/utils/stop-watch.hpp> | ||
| 42 | #include <tsid/utils/statistics.hpp> | ||
| 43 | |||
| 44 | #define CHECK_LESS_THAN(A, B) \ | ||
| 45 | BOOST_CHECK_MESSAGE(A < B, #A << ": " << A << ">" << B) | ||
| 46 | #define REQUIRE_FINITE(A) BOOST_REQUIRE_MESSAGE(isFinite(A), #A << ": " << A) | ||
| 47 | |||
| 48 | BOOST_AUTO_TEST_SUITE(BOOST_TEST_MODULE) | ||
| 49 | |||
| 50 | // BOOST_AUTO_TEST_CASE ( test_eiquadprog_unconstrained) | ||
| 51 | //{ | ||
| 52 | // std::cout << "test_eiquadprog_unconstrained\n"; | ||
| 53 | // using namespace tsid; | ||
| 54 | // using namespace math; | ||
| 55 | // using namespace solvers; | ||
| 56 | // using namespace std; | ||
| 57 | |||
| 58 | // const unsigned int n = 5; | ||
| 59 | // const unsigned int m = 3; | ||
| 60 | // const unsigned int neq = 0; | ||
| 61 | // const unsigned int nin = 0; | ||
| 62 | // const double damping = 1e-4; | ||
| 63 | // SolverHQPBase * solver = SolverHQPBase::getNewSolver(SOLVER_HQP_EIQUADPROG, | ||
| 64 | // "solver-eiquadprog"); solver->resize(n, neq, nin); | ||
| 65 | |||
| 66 | // HQPData HQPData(2); | ||
| 67 | // Matrix A = Matrix::Random(m, n); | ||
| 68 | // Vector b = Vector::Random(m); | ||
| 69 | //  ConstraintEquality constraint1("c1", A, b); | ||
| 70 | // HQPData[1].push_back(make_pair<double, ConstraintBase*>(1.0, &constraint1)); | ||
| 71 | |||
| 72 | //  ConstraintEquality constraint2("c2", Matrix::Identity(n,n), | ||
| 73 | // Vector::Zero(n)); HQPData[1].push_back(make_pair<double, | ||
| 74 | // ConstraintBase*>(damping, &constraint2)); | ||
| 75 | |||
| 76 | // const HQPOutput & output = solver->solve(HQPData); | ||
| 77 | // BOOST_CHECK_MESSAGE(output.status==HQP_STATUS_OPTIMAL, "Status | ||
| 78 | // "+toString(output.status)); | ||
| 79 | |||
| 80 | // Vector x(n); | ||
| 81 | // svdSolveWithDamping(A, b, x, damping); | ||
| 82 | // BOOST_CHECK_MESSAGE(x.isApprox(output.x, 1e-3), "Solution error: | ||
| 83 | // "+toString(x-output.x)); | ||
| 84 | //} | ||
| 85 | |||
| 86 | // BOOST_AUTO_TEST_CASE ( test_eiquadprog_equality_constrained) | ||
| 87 | //{ | ||
| 88 | // std::cout << "test_eiquadprog_equality_constrained\n"; | ||
| 89 | // using namespace tsid; | ||
| 90 | // using namespace math; | ||
| 91 | // using namespace solvers; | ||
| 92 | // using namespace std; | ||
| 93 | |||
| 94 | // const unsigned int n = 5; | ||
| 95 | // const unsigned int m = 3; | ||
| 96 | // const unsigned int neq = 2; | ||
| 97 | // const unsigned int nin = 0; | ||
| 98 | // const double damping = 1e-4; | ||
| 99 | // SolverHQPBase * solver = SolverHQPBase::getNewSolver(SOLVER_HQP_EIQUADPROG, | ||
| 100 | // "solver-eiquadprog"); | ||
| 101 | // solver->resize(n, neq, nin); | ||
| 102 | |||
| 103 | // HQPData HQPData(2); | ||
| 104 | |||
| 105 | // Matrix A_eq = Matrix::Random(neq, n); | ||
| 106 | // Vector b_eq = Vector::Random(neq); | ||
| 107 | //  ConstraintEquality eq_constraint("eq1", A_eq, b_eq); | ||
| 108 | // HQPData[0].push_back(make_pair<double, ConstraintBase*>(1.0, | ||
| 109 | // &eq_constraint)); | ||
| 110 | |||
| 111 | // Matrix A = Matrix::Random(m, n); | ||
| 112 | // Vector b = Vector::Random(m); | ||
| 113 | //  ConstraintEquality constraint1("c1", A, b); | ||
| 114 | // HQPData[1].push_back(make_pair<double, ConstraintBase*>(1.0, &constraint1)); | ||
| 115 | |||
| 116 | //  ConstraintEquality constraint2("c2", Matrix::Identity(n,n), | ||
| 117 | // Vector::Zero(n)); HQPData[1].push_back(make_pair<double, | ||
| 118 | // ConstraintBase*>(damping, &constraint2)); | ||
| 119 | |||
| 120 | // const HQPOutput & output = solver->solve(HQPData); | ||
| 121 | // BOOST_REQUIRE_MESSAGE(output.status==HQP_STATUS_OPTIMAL, | ||
| 122 | // "Status "+toString(output.status)); | ||
| 123 | // BOOST_CHECK_MESSAGE(b_eq.isApprox(A_eq*output.x), | ||
| 124 | // "Constraint error: "+toString(b_eq-A_eq*output.x)); | ||
| 125 | //} | ||
| 126 | |||
| 127 | // BOOST_AUTO_TEST_CASE ( test_eiquadprog_inequality_constrained) | ||
| 128 | //{ | ||
| 129 | // std::cout << "test_eiquadprog_inequality_constrained\n"; | ||
| 130 | // using namespace tsid; | ||
| 131 | // using namespace math; | ||
| 132 | // using namespace solvers; | ||
| 133 | // using namespace std; | ||
| 134 | |||
| 135 | // const unsigned int n = 5; | ||
| 136 | // const unsigned int m = 3; | ||
| 137 | // const unsigned int neq = 0; | ||
| 138 | // const unsigned int nin = 3; | ||
| 139 | // const double damping = 1e-5; | ||
| 140 | // SolverHQPBase * solver = SolverHQPBase::getNewSolver(SOLVER_HQP_EIQUADPROG, | ||
| 141 | // "solver-eiquadprog"); | ||
| 142 | // solver->resize(n, neq, nin); | ||
| 143 | |||
| 144 | // HQPData HQPData(2); | ||
| 145 | |||
| 146 | // Matrix A = Matrix::Random(m, n); | ||
| 147 | // Vector b = Vector::Random(m); | ||
| 148 | //  ConstraintEquality constraint1("c1", A, b); | ||
| 149 | // HQPData[1].push_back(make_pair<double, ConstraintBase*>(1.0, &constraint1)); | ||
| 150 | |||
| 151 | //  ConstraintEquality constraint2("c2", Matrix::Identity(n,n), | ||
| 152 | // Vector::Zero(n)); HQPData[1].push_back(make_pair<double, | ||
| 153 | // ConstraintBase*>(damping, &constraint2)); | ||
| 154 | |||
| 155 | // Vector x(n); | ||
| 156 | // svdSolveWithDamping(A, b, x, damping); | ||
| 157 | |||
| 158 | // Matrix A_in = Matrix::Random(nin, n); | ||
| 159 | // Vector A_lb = A_in*x - Vector::Ones(nin) + Vector::Random(nin); | ||
| 160 | // Vector A_ub = A_in*x + Vector::Ones(nin) + Vector::Random(nin); | ||
| 161 | //  ConstraintInequality in_constraint("in1", A_in, A_lb, A_ub); | ||
| 162 | // HQPData[0].push_back(make_pair<double, ConstraintBase*>(1.0, | ||
| 163 | // &in_constraint)); | ||
| 164 | |||
| 165 | // const HQPOutput & output = solver->solve(HQPData); | ||
| 166 | // BOOST_REQUIRE_MESSAGE(output.status==HQP_STATUS_OPTIMAL, | ||
| 167 | // "Status "+toString(output.status)); | ||
| 168 | // BOOST_CHECK_MESSAGE(((A_in*output.x).array() <= A_ub.array()).all(), | ||
| 169 | // "Upper bound error: "+toString(A_ub - A_in*output.x)); | ||
| 170 | // BOOST_CHECK_MESSAGE(((A_in*output.x).array() >= A_lb.array()).all(), | ||
| 171 | // "Lower bound error: "+toString(A_in*output.x-A_lb)); | ||
| 172 | |||
| 173 | // A_lb[0] += 2.0; | ||
| 174 | // in_constraint.setLowerBound(A_lb); | ||
| 175 | // const HQPOutput & output2 = solver->solve(HQPData); | ||
| 176 | // BOOST_REQUIRE_MESSAGE(output.status==HQP_STATUS_OPTIMAL, | ||
| 177 | // "Status "+toString(output.status)); | ||
| 178 | // BOOST_CHECK_MESSAGE((A_in.row(0)*output.x).isApproxToConstant(A_lb[0]), | ||
| 179 | // "Active constraint error: | ||
| 180 | // "+toString(A_in.row(0)*output.x-A_lb.head<1>())); | ||
| 181 | //} | ||
| 182 | |||
| 183 | #define PROFILE_EIQUADPROG "Eiquadprog" | ||
| 184 | #define PROFILE_EIQUADPROG_RT "Eiquadprog Real Time" | ||
| 185 | #define PROFILE_EIQUADPROG_FAST "Eiquadprog Fast" | ||
| 186 | #define PROFILE_PROXQP "Proxqp" | ||
| 187 | #define PROFILE_OSQP "OSQP" | ||
| 188 | #define PROFILE_QPMAD "QPMAD" | ||
| 189 | |||
| 190 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗ | 4 | BOOST_AUTO_TEST_CASE(test_eiquadprog_classic_vs_rt_vs_fast_vs_proxqp) { | 
| 191 | ✓✗ | 2 | std::cout << "test_eiquadprog_classic_vs_rt_vs_fast\n"; | 
| 192 | using namespace tsid; | ||
| 193 | using namespace math; | ||
| 194 | using namespace solvers; | ||
| 195 | |||
| 196 | 2 | const double EPS = 1e-8; | |
| 197 | #ifdef NDEBUG | ||
| 198 | const unsigned int nTest = 100; | ||
| 199 | const unsigned int nsmooth = 50; | ||
| 200 | #else | ||
| 201 | 2 | const unsigned int nTest = 100; | |
| 202 | 2 | const unsigned int nsmooth = 5; | |
| 203 | #endif | ||
| 204 | 2 | const unsigned int n = 60; | |
| 205 | 2 | const unsigned int neq = 36; | |
| 206 | 2 | const unsigned int nin = 40; | |
| 207 | 2 | const double damping = 1e-10; | |
| 208 | |||
| 209 | // variance of the normal distribution used for generating initial bounds | ||
| 210 | 2 | const double NORMAL_DISTR_VAR = 10.0; | |
| 211 | // each cycle the gradient is perturbed by a Gaussian random variable with | ||
| 212 | // this covariance | ||
| 213 | 2 | const double GRADIENT_PERTURBATION_VARIANCE = 1e-2; | |
| 214 | // each cycle the Hessian is perturbed by a Gaussian random variable with this | ||
| 215 | // covariance | ||
| 216 | 2 | const double HESSIAN_PERTURBATION_VARIANCE = 1e-1; | |
| 217 | // min margin of activation of the inequality constraints for the first QP | ||
| 218 | 2 | const double MARGIN_PERC = 1e-3; | |
| 219 | |||
| 220 | ✓✗✓✗ ✓✗✓✗ | 2 | std::cout << "Gonna perform " << nTest << " tests (smooth " << nsmooth | 
| 221 | ✓✗✓✗ ✓✗✓✗ ✓✗ | 2 | << " times) with " << n << " variables, " << neq << " equalities, " | 
| 222 | ✓✗✓✗ | 2 | << nin << " inequalities\n"; | 
| 223 | |||
| 224 | // CREATE SOLVERS | ||
| 225 | ✓✗✓✗ | 2 | SolverHQPBase* solver_rt = SolverHQPFactory::createNewSolver<n, neq, nin>( | 
| 226 | SOLVER_HQP_EIQUADPROG_RT, "eiquadprog_rt"); | ||
| 227 | ✓✗ | 2 | solver_rt->resize(n, neq, nin); | 
| 228 | |||
| 229 | ✓✗✓✗ | 2 | SolverHQPBase* solver_fast = SolverHQPFactory::createNewSolver( | 
| 230 | SOLVER_HQP_EIQUADPROG_FAST, "eiquadprog_fast"); | ||
| 231 | ✓✗ | 2 | solver_fast->resize(n, neq, nin); | 
| 232 | |||
| 233 | SolverHQPBase* solver = | ||
| 234 | ✓✗✓✗ | 2 | SolverHQPFactory::createNewSolver(SOLVER_HQP_EIQUADPROG, "eiquadprog"); | 
| 235 | ✓✗ | 2 | solver->resize(n, neq, nin); | 
| 236 | |||
| 237 | #ifdef TSID_WITH_PROXSUITE | ||
| 238 | SolverHQPBase* solver_proxqp = | ||
| 239 | SolverHQPFactory::createNewSolver(SOLVER_HQP_PROXQP, "proxqp"); | ||
| 240 | #endif | ||
| 241 | |||
| 242 | #ifdef TSID_WITH_OSQP | ||
| 243 | SolverHQPBase* solver_osqp = | ||
| 244 | SolverHQPFactory::createNewSolver(SOLVER_HQP_OSQP, "osqp"); | ||
| 245 | #endif | ||
| 246 | |||
| 247 | #ifdef TSID_QPMAD_FOUND | ||
| 248 | SolverHQPBase* solver_qpmad = | ||
| 249 | SolverHQPFactory::createNewSolver(SOLVER_HQP_QPMAD, "qpmad"); | ||
| 250 | solver_qpmad->resize(n, neq, nin); | ||
| 251 | #endif | ||
| 252 | |||
| 253 | // CREATE PROBLEM DATA | ||
| 254 | ✓✗ | 6 | HQPData HQPData(2); | 
| 255 | |||
| 256 | ✓✗✓✗ | 4 | Matrix A1 = Matrix::Random(n, n); | 
| 257 | ✓✗✓✗ | 4 | Vector b1 = Vector::Random(n); | 
| 258 | ✓✗ | 4 |   auto cost = std::make_shared<ConstraintEquality>("c1", A1, b1); | 
| 259 | ✓✗ | 4 | HQPData[1].push_back( | 
| 260 | ✓✗ | 4 | solvers::make_pair<double, std::shared_ptr<ConstraintBase>>(1.0, cost)); | 
| 261 | |||
| 262 | ✓✗ | 4 | Vector x(n); | 
| 263 | ✓✗✓✗ ✓✗✓✗ | 2 | svdSolveWithDamping(A1, b1, x, damping); | 
| 264 | |||
| 265 | ✓✗✓✗ | 4 | Matrix A_in = Matrix::Random(nin, n); | 
| 266 | ✓✗✓✗ ✓✗ | 4 | Vector A_lb = Vector::Random(nin) * NORMAL_DISTR_VAR; | 
| 267 | ✓✗✓✗ ✓✗ | 4 | Vector A_ub = Vector::Random(nin) * NORMAL_DISTR_VAR; | 
| 268 | ✓✗✓✗ | 4 | Vector constrVal = A_in * x; | 
| 269 | ✓✓ | 82 |   for (unsigned int i = 0; i < nin; i++) { | 
| 270 | ✓✗✓✗ ✓✓ | 80 |     if (constrVal[i] > A_ub[i]) { | 
| 271 | // std::cout<<"Inequality constraint "<<i<<" active at first | ||
| 272 | // iteration. UB="<<A_ub[i]<<", value="<<constrVal[i]<<endl; | ||
| 273 | ✓✗✓✗ ✓✗ | 40 | A_ub[i] = constrVal[i] + MARGIN_PERC * fabs(constrVal[i]); | 
| 274 | } | ||
| 275 | ✓✗✓✗ ✓✓ | 80 |     if (constrVal[i] < A_lb[i]) { | 
| 276 | // std::cout<<"Inequality constraint "<<i<<" active at first | ||
| 277 | // iteration. LB="<<A_lb[i]<<", value="<<constrVal[i]<<endl; | ||
| 278 | ✓✗✓✗ ✓✗ | 36 | A_lb[i] = constrVal[i] - MARGIN_PERC * fabs(constrVal[i]); | 
| 279 | } | ||
| 280 | } | ||
| 281 | auto in_constraint = | ||
| 282 | ✓✗ | 4 |       std::make_shared<ConstraintInequality>("in1", A_in, A_lb, A_ub); | 
| 283 | ✓✗ | 4 | HQPData[0].push_back( | 
| 284 | 4 | solvers::make_pair<double, std::shared_ptr<ConstraintBase>>( | |
| 285 | ✓✗ | 4 | 1.0, in_constraint)); | 
| 286 | |||
| 287 | ✓✗✓✗ | 4 | Matrix A_eq = Matrix::Random(neq, n); | 
| 288 | ✓✗✓✗ | 4 | Vector b_eq = A_eq * x; | 
| 289 | ✓✗ | 4 |   auto eq_constraint = std::make_shared<ConstraintEquality>("eq1", A_eq, b_eq); | 
| 290 | ✓✗ | 4 | HQPData[0].push_back( | 
| 291 | 4 | solvers::make_pair<double, std::shared_ptr<ConstraintBase>>( | |
| 292 | ✓✗ | 4 | 1.0, eq_constraint)); | 
| 293 | |||
| 294 | // Prepare random data to perturb initial QP | ||
| 295 | ✓✗ | 4 | std::vector<Vector> gradientPerturbations(nTest); | 
| 296 | ✓✗ | 4 | std::vector<Matrix> hessianPerturbations(nTest); | 
| 297 | ✓✓ | 202 |   for (unsigned int i = 0; i < nTest; i++) { | 
| 298 | 200 | gradientPerturbations[i] = | |
| 299 | ✓✗✓✗ ✓✗ | 400 | Vector::Random(n) * GRADIENT_PERTURBATION_VARIANCE; | 
| 300 | 200 | hessianPerturbations[i] = | |
| 301 | ✓✗✓✗ ✓✗ | 400 | Matrix::Random(n, n) * HESSIAN_PERTURBATION_VARIANCE; | 
| 302 | } | ||
| 303 | |||
| 304 | // START COMPUTING | ||
| 305 | ✓✓ | 202 |   for (unsigned int i = 0; i < nTest; i++) { | 
| 306 |     if (true || i == 0) { | ||
| 307 | ✓✗✓✗ | 200 | cost->matrix() += hessianPerturbations[i]; | 
| 308 | ✓✗✓✗ | 200 | cost->vector() += gradientPerturbations[i]; | 
| 309 | } | ||
| 310 | // First run to init outputs | ||
| 311 | ✓✗✓✗ ✓✗ | 200 | getProfiler().start(PROFILE_EIQUADPROG_FAST); | 
| 312 | ✓✗ | 200 | const HQPOutput& output_fast = solver_fast->solve(HQPData); | 
| 313 | ✓✗✓✗ ✓✗ | 200 | getProfiler().stop(PROFILE_EIQUADPROG_FAST); | 
| 314 | |||
| 315 | ✓✗✓✗ ✓✗ | 200 | getProfiler().start(PROFILE_EIQUADPROG_RT); | 
| 316 | ✓✗ | 200 | const HQPOutput& output_rt = solver_rt->solve(HQPData); | 
| 317 | ✓✗✓✗ ✓✗ | 200 | getProfiler().stop(PROFILE_EIQUADPROG_RT); | 
| 318 | |||
| 319 | ✓✗✓✗ ✓✗ | 200 | getProfiler().start(PROFILE_EIQUADPROG); | 
| 320 | ✓✗ | 200 | const HQPOutput& output = solver->solve(HQPData); | 
| 321 | ✓✗✓✗ ✓✗ | 200 | getProfiler().stop(PROFILE_EIQUADPROG); | 
| 322 | |||
| 323 | #ifdef TSID_WITH_PROXSUITE | ||
| 324 | getProfiler().start(PROFILE_PROXQP); | ||
| 325 | const HQPOutput& output_proxqp = solver_proxqp->solve(HQPData); | ||
| 326 | getProfiler().stop(PROFILE_PROXQP); | ||
| 327 | #endif | ||
| 328 | |||
| 329 | #ifdef TSID_WITH_OSQP | ||
| 330 | getProfiler().start(PROFILE_OSQP); | ||
| 331 | const HQPOutput& output_osqp = solver_osqp->solve(HQPData); | ||
| 332 | getProfiler().stop(PROFILE_OSQP); | ||
| 333 | #endif | ||
| 334 | |||
| 335 | #ifdef TSID_QPMAD_FOUND | ||
| 336 | getProfiler().start(PROFILE_QPMAD); | ||
| 337 | const HQPOutput& output_qpmad = solver_qpmad->solve(HQPData); | ||
| 338 | getProfiler().stop(PROFILE_QPMAD); | ||
| 339 | #endif | ||
| 340 | // Loop to smooth variance for each problem | ||
| 341 | ✓✓ | 1200 |     for (unsigned int j = 0; j < nsmooth; j++) { | 
| 342 | ✓✗✓✗ ✓✗ | 1000 | getProfiler().start(PROFILE_EIQUADPROG_FAST); | 
| 343 | ✓✗ | 1000 | (void)solver_fast->solve(HQPData); | 
| 344 | ✓✗✓✗ ✓✗ | 1000 | getProfiler().stop(PROFILE_EIQUADPROG_FAST); | 
| 345 | |||
| 346 | ✓✗✓✗ ✓✗ | 1000 | getProfiler().start(PROFILE_EIQUADPROG_RT); | 
| 347 | ✓✗ | 1000 | (void)solver_rt->solve(HQPData); | 
| 348 | ✓✗✓✗ ✓✗ | 1000 | getProfiler().stop(PROFILE_EIQUADPROG_RT); | 
| 349 | |||
| 350 | ✓✗✓✗ ✓✗ | 1000 | getProfiler().start(PROFILE_EIQUADPROG); | 
| 351 | ✓✗ | 1000 | (void)solver->solve(HQPData); | 
| 352 | ✓✗✓✗ ✓✗ | 1000 | getProfiler().stop(PROFILE_EIQUADPROG); | 
| 353 | |||
| 354 | #ifdef TSID_WITH_PROXSUITE | ||
| 355 | getProfiler().start(PROFILE_PROXQP); | ||
| 356 | (void)solver_proxqp->solve(HQPData); | ||
| 357 | getProfiler().stop(PROFILE_PROXQP); | ||
| 358 | #endif | ||
| 359 | |||
| 360 | #ifdef TSID_WITH_OSQP | ||
| 361 | getProfiler().start(PROFILE_OSQP); | ||
| 362 | (void)solver_osqp->solve(HQPData); | ||
| 363 | getProfiler().stop(PROFILE_OSQP); | ||
| 364 | #endif | ||
| 365 | |||
| 366 | #ifdef TSID_QPMAD_FOUND | ||
| 367 | getProfiler().start(PROFILE_QPMAD); | ||
| 368 | (void)solver_qpmad->solve(HQPData); | ||
| 369 | getProfiler().stop(PROFILE_QPMAD); | ||
| 370 | #endif | ||
| 371 | } | ||
| 372 | |||
| 373 | ✓✗✓✗ ✓✗ | 400 |     getStatistics().store("active inequalities", | 
| 374 | ✓✗ | 200 | (double)output_rt.activeSet.size()); | 
| 375 | ✓✗✓✗ ✓✗ | 200 |     getStatistics().store("solver iterations", output_rt.iterations); | 
| 376 | |||
| 377 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✗✓ | 200 | BOOST_REQUIRE_MESSAGE( | 
| 378 | output.status == output_rt.status, | ||
| 379 | "Status " + SolverHQPBase::HQP_status_string[output.status] + | ||
| 380 | " Status RT " + SolverHQPBase::HQP_status_string[output_rt.status]); | ||
| 381 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✗✓ | 200 | BOOST_REQUIRE_MESSAGE( | 
| 382 | output.status == output_fast.status, | ||
| 383 | "Status " + SolverHQPBase::HQP_status_string[output.status] + | ||
| 384 | " Status FAST " + | ||
| 385 | SolverHQPBase::HQP_status_string[output_fast.status]); | ||
| 386 | |||
| 387 | #ifdef TSID_WITH_PROXSUITE | ||
| 388 | BOOST_REQUIRE_MESSAGE( | ||
| 389 | output.status == output_proxqp.status, | ||
| 390 | "Status " + SolverHQPBase::HQP_status_string[output.status] + | ||
| 391 | " Status Proxqp " + | ||
| 392 | SolverHQPBase::HQP_status_string[output_proxqp.status]); | ||
| 393 | #endif | ||
| 394 | #ifdef TSID_WITH_OSQP | ||
| 395 | BOOST_REQUIRE_MESSAGE( | ||
| 396 | output.status == output_osqp.status, | ||
| 397 | "Status " + SolverHQPBase::HQP_status_string[output.status] + | ||
| 398 | " Status Proxqp " + | ||
| 399 | SolverHQPBase::HQP_status_string[output_osqp.status]); | ||
| 400 | #endif | ||
| 401 | |||
| 402 | ✓✗ | 200 |     if (output.status == HQP_STATUS_OPTIMAL) { | 
| 403 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✗✓ | 200 | CHECK_LESS_THAN((A_eq * output.x - b_eq).norm(), EPS); | 
| 404 | |||
| 405 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✗✓ | 200 | BOOST_CHECK_MESSAGE( | 
| 406 | ((A_in * output.x).array() <= A_ub.array() + EPS).all(), | ||
| 407 | "Lower bounds violated: " + | ||
| 408 | toString((A_ub - A_in * output.x).transpose())); | ||
| 409 | |||
| 410 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✗✓ | 200 | BOOST_CHECK_MESSAGE( | 
| 411 | ((A_in * output.x).array() >= A_lb.array() - EPS).all(), | ||
| 412 | "Upper bounds violated: " + | ||
| 413 | toString((A_in * output.x - A_lb).transpose())); | ||
| 414 | |||
| 415 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✗✓ | 200 | BOOST_CHECK_MESSAGE( | 
| 416 | output.x.isApprox(output_rt.x, EPS), | ||
| 417 | // "Sol "+toString(output.x.transpose())+ | ||
| 418 | // "\nSol RT | ||
| 419 | // "+toString(output_rt.x.transpose())+ | ||
| 420 | "\nDiff RT: " + toString((output.x - output_rt.x).norm())); | ||
| 421 | |||
| 422 | ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✓✗✓✗ ✗✓ | 200 | BOOST_CHECK_MESSAGE( | 
| 423 | output_rt.x.isApprox(output_fast.x, EPS), | ||
| 424 | // "Sol RT"+toString(output_rt.x.transpose())+ | ||
| 425 | // "\nSol FAST | ||
| 426 | // "+toString(output_fast.x.transpose())+ | ||
| 427 | "\nDiff FAST: " + toString((output_rt.x - output_fast.x).norm())); | ||
| 428 | |||
| 429 | #ifdef TSID_WITH_PROXSUITE | ||
| 430 | BOOST_CHECK_MESSAGE( | ||
| 431 | output.x.isApprox(output_proxqp.x, 1e-4), | ||
| 432 | "\nDiff PROXQP: " + toString((output.x - output_proxqp.x).norm())); | ||
| 433 | #endif | ||
| 434 | #ifdef TSID_WITH_OSQP | ||
| 435 | BOOST_CHECK_MESSAGE( | ||
| 436 | output.x.isApprox(output_osqp.x, 1e-4), | ||
| 437 | "\nDiff OSQP: " + toString((output.x - output_osqp.x).norm())); | ||
| 438 | #endif | ||
| 439 | |||
| 440 | #ifdef TSID_QPMAD_FOUND | ||
| 441 | BOOST_CHECK_MESSAGE( | ||
| 442 | output.x.isApprox(output_qpmad.x, EPS), | ||
| 443 | "\nDiff QPMAD: " + toString((output.x - output_qpmad.x).norm())); | ||
| 444 | #endif | ||
| 445 | } | ||
| 446 | } | ||
| 447 | |||
| 448 | ✓✗ | 2 | std::cout << "\n### TEST FINISHED ###\n"; | 
| 449 | ✓✗✓✗ | 2 | getProfiler().report_all(3, std::cout); | 
| 450 | ✓✗✓✗ | 2 | getStatistics().report_all(1, std::cout); | 
| 451 | |||
| 452 | ✓✗ | 2 | delete solver; | 
| 453 | ✓✗ | 2 | delete solver_rt; | 
| 454 | ✓✗ | 2 | delete solver_fast; | 
| 455 | |||
| 456 | #ifdef TSID_WITH_PROXSUITE | ||
| 457 | delete solver_proxqp; | ||
| 458 | #endif | ||
| 459 | |||
| 460 | #ifdef TSID_WITH_OSQP | ||
| 461 | delete solver_osqp; | ||
| 462 | #endif | ||
| 463 | 2 | } | |
| 464 | |||
| 465 | BOOST_AUTO_TEST_SUITE_END() | 
| Generated by: GCOVR (Version 4.2) |