solver_csparse.cpp

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// g2o - General Graph Optimization
// Copyright (C) 2011 R. Kuemmerle, G. Grisetti, W. Burgard
//
// g2o is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published
// by the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// g2o is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
#include "g2o/core/block_solver.h"
#include "g2o/core/optimization_algorithm_dogleg.h"
#include "g2o/core/optimization_algorithm_factory.h"
#include "g2o/core/optimization_algorithm_gauss_newton.h"
#include "g2o/core/optimization_algorithm_levenberg.h"
#include "g2o/core/solver.h"
#include "g2o/core/sparse_optimizer.h"
#include "g2o/stuff/logger.h"
#include "g2o/stuff/macros.h"
#include "linear_solver_csparse.h"
 
using namespace std;
 
namespace g2o {
 
namespace {
template <int p, int l, bool blockorder>
std::unique_ptr<BlockSolverBase> AllocateSolver() {
  G2O_DEBUG("Using CSparse poseDim {} landMarkDim {} blockordering {}", p, l,
            blockorder);
  auto linearSolver = std::make_unique<
      LinearSolverCSparse<typename BlockSolverPL<p, l>::PoseMatrixType>>();
  linearSolver->setBlockOrdering(blockorder);
  return std::make_unique<BlockSolverPL<p, l>>(std::move(linearSolver));
}
}  // namespace

static OptimizationAlgorithm* createSolver(const std::string& fullSolverName) {
  static const std::map<std::string,
                        std::function<std::unique_ptr<BlockSolverBase>()>>
      solver_factories{
          {"var_csparse", &AllocateSolver<-1, -1, true>},
          {"fix3_2_csparse", &AllocateSolver<3, 2, true>},
          {"fix6_3_csparse", &AllocateSolver<6, 3, true>},
          {"fix7_3_csparse", &AllocateSolver<7, 3, true>},
          {"fix3_2_scalar_csparse", &AllocateSolver<3, 2, false>},
          {"fix6_3_scalar_csparse", &AllocateSolver<6, 3, false>},
          {"fix7_3_scalar_csparse", &AllocateSolver<7, 3, false>},
      };
 
  string solverName = fullSolverName.substr(3);
  auto solverf = solver_factories.find(solverName);
  if (solverf == solver_factories.end()) return nullptr;
 
  string methodName = fullSolverName.substr(0, 2);
 
  if (methodName == "gn") {
    return new OptimizationAlgorithmGaussNewton(solverf->second());
  } else if (methodName == "lm") {
    return new OptimizationAlgorithmLevenberg(solverf->second());
  } else if (methodName == "dl") {
    return new OptimizationAlgorithmDogleg(solverf->second());
  }
 
  return nullptr;
}
 
class CSparseSolverCreator : public AbstractOptimizationAlgorithmCreator {
 public:
  explicit CSparseSolverCreator(const OptimizationAlgorithmProperty& p)
      : AbstractOptimizationAlgorithmCreator(p) {}
  virtual OptimizationAlgorithm* construct() {
    return createSolver(property().name);
  }
};
 
// clang-format off
  G2O_REGISTER_OPTIMIZATION_LIBRARY(csparse);
 
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(gn_var_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("gn_var_csparse", "Gauss-Newton: Cholesky solver using CSparse (variable blocksize)", "CSparse", false, Eigen::Dynamic, Eigen::Dynamic)));
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(gn_fix3_2_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("gn_fix3_2_csparse", "Gauss-Newton: Cholesky solver using CSparse (fixed blocksize)", "CSparse", true, 3, 2)));
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(gn_fix6_3_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("gn_fix6_3_csparse", "Gauss-Newton: Cholesky solver using CSparse (fixed blocksize)", "CSparse", true, 6, 3)));
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(gn_fix7_3_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("gn_fix7_3_csparse", "Gauss-Newton: Cholesky solver using CSparse (fixed blocksize)", "CSparse", true, 7, 3)));
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(lm_var_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("lm_var_csparse", "Levenberg: Cholesky solver using CSparse (variable blocksize)", "CSparse", false, Eigen::Dynamic, Eigen::Dynamic)));
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(lm_fix3_2_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("lm_fix3_2_csparse", "Levenberg: Cholesky solver using CSparse (fixed blocksize)", "CSparse", true, 3, 2)));
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(lm_fix6_3_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("lm_fix6_3_csparse", "Levenberg: Cholesky solver using CSparse (fixed blocksize)", "CSparse", true, 6, 3)));
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(lm_fix7_3_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("lm_fix7_3_csparse", "Levenberg: Cholesky solver using CSparse (fixed blocksize)", "CSparse", true, 7, 3)));
 
  G2O_REGISTER_OPTIMIZATION_ALGORITHM(dl_var_csparse, new CSparseSolverCreator(OptimizationAlgorithmProperty("dl_var_csparse", "Dogleg: Cholesky solver using CSparse (variable blocksize)", "CSparse", false, Eigen::Dynamic, Eigen::Dynamic)));
// clang-format on
 
}  // namespace g2o