| 1 | /* ---------------------------------------------------------------------------- |
| 2 | |
| 3 | * GTSAM Copyright 2010, Georgia Tech Research Corporation, |
| 4 | * Atlanta, Georgia 30332-0415 |
| 5 | * All Rights Reserved |
| 6 | * Authors: Frank Dellaert, et al. (see THANKS for the full author list) |
| 7 | |
| 8 | * See LICENSE for the license information |
| 9 | * -------------------------------------------------------------------------- */ |
| 10 | |
| 11 | /** |
| 12 | * @file timeiSAM2Chain.cpp |
| 13 | * @brief Times each iteration of a long chain in iSAM2, to measure asymptotic performance |
| 14 | * @author Richard Roberts |
| 15 | */ |
| 16 | |
| 17 | #include <gtsam/base/timing.h> |
| 18 | #include <gtsam/slam/dataset.h> |
| 19 | #include <gtsam/geometry/Pose2.h> |
| 20 | #include <gtsam/slam/BetweenFactor.h> |
| 21 | #include <gtsam/inference/Symbol.h> |
| 22 | #include <gtsam/nonlinear/ISAM2.h> |
| 23 | #include <gtsam/nonlinear/Marginals.h> |
| 24 | |
| 25 | #include <fstream> |
| 26 | #include <boost/archive/binary_oarchive.hpp> |
| 27 | #include <boost/archive/binary_iarchive.hpp> |
| 28 | #include <boost/serialization/export.hpp> |
| 29 | #include <boost/random/mersenne_twister.hpp> |
| 30 | #include <boost/random/uniform_real.hpp> |
| 31 | #include <boost/random/variate_generator.hpp> |
| 32 | |
| 33 | using namespace std; |
| 34 | using namespace gtsam; |
| 35 | using namespace gtsam::symbol_shorthand; |
| 36 | |
| 37 | typedef Pose2 Pose; |
| 38 | |
| 39 | typedef NoiseModelFactorN<Pose> NM1; |
| 40 | typedef NoiseModelFactorN<Pose,Pose> NM2; |
| 41 | noiseModel::Unit::shared_ptr model = noiseModel::Unit::Create(dim: 3); |
| 42 | |
| 43 | int main(int argc, char *argv[]) { |
| 44 | |
| 45 | const size_t steps = 50000; |
| 46 | |
| 47 | cout << "Playing forward " << steps << " time steps..." << endl; |
| 48 | |
| 49 | ISAM2 isam2; |
| 50 | |
| 51 | // Times |
| 52 | vector<double> times(steps); |
| 53 | |
| 54 | for(size_t step=0; step < steps; ++step) { |
| 55 | |
| 56 | Values newVariables; |
| 57 | NonlinearFactorGraph newFactors; |
| 58 | |
| 59 | // Collect measurements and new variables for the current step |
| 60 | gttic_(Create_measurements); |
| 61 | if(step == 0) { |
| 62 | // Add prior |
| 63 | newFactors.addPrior(key: 0, prior: Pose(), model: noiseModel::Unit::Create(dim: 3)); |
| 64 | newVariables.insert(j: 0, val: Pose()); |
| 65 | } else { |
| 66 | Vector eta = Vector::Random(size: 3) * 0.1; |
| 67 | Pose2 between = Pose().retract(v: eta); |
| 68 | // Add between |
| 69 | newFactors.add(factorOrContainer: BetweenFactor<Pose>(step-1, step, between, model)); |
| 70 | newVariables.insert(j: step, val: isam2.calculateEstimate<Pose>(key: step-1) * between); |
| 71 | } |
| 72 | |
| 73 | gttoc_(Create_measurements); |
| 74 | |
| 75 | // Update iSAM2 |
| 76 | gttic_(Update_ISAM2); |
| 77 | isam2.update(newFactors, newTheta: newVariables); |
| 78 | gttoc_(Update_ISAM2); |
| 79 | |
| 80 | tictoc_finishedIteration_(); |
| 81 | |
| 82 | tictoc_getNode(node, Update_ISAM2); |
| 83 | times[step] = node->time(); |
| 84 | |
| 85 | if(step % 1000 == 0) { |
| 86 | cout << "Step " << step << endl; |
| 87 | tictoc_print_(); |
| 88 | } |
| 89 | } |
| 90 | |
| 91 | tictoc_print_(); |
| 92 | |
| 93 | // Write times |
| 94 | ofstream timesFile("times.txt" ); |
| 95 | for(double t: times) { |
| 96 | timesFile << t << "\n" ; } |
| 97 | |
| 98 | return 0; |
| 99 | } |
| 100 | |