Austin Schuh | 70cc955 | 2019-01-21 19:46:48 -0800 | [diff] [blame] | 1 | // Ceres Solver - A fast non-linear least squares minimizer |
| 2 | // Copyright 2015 Google Inc. All rights reserved. |
| 3 | // http://ceres-solver.org/ |
| 4 | // |
| 5 | // Redistribution and use in source and binary forms, with or without |
| 6 | // modification, are permitted provided that the following conditions are met: |
| 7 | // |
| 8 | // * Redistributions of source code must retain the above copyright notice, |
| 9 | // this list of conditions and the following disclaimer. |
| 10 | // * Redistributions in binary form must reproduce the above copyright notice, |
| 11 | // this list of conditions and the following disclaimer in the documentation |
| 12 | // and/or other materials provided with the distribution. |
| 13 | // * Neither the name of Google Inc. nor the names of its contributors may be |
| 14 | // used to endorse or promote products derived from this software without |
| 15 | // specific prior written permission. |
| 16 | // |
| 17 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| 18 | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| 19 | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| 20 | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| 21 | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| 22 | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| 23 | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| 24 | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| 25 | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 26 | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 27 | // POSSIBILITY OF SUCH DAMAGE. |
| 28 | // |
| 29 | // Author: sameeragarwal@google.com (Sameer Agarwal) |
| 30 | |
| 31 | #ifndef CERES_INTERNAL_COORDINATE_DESCENT_MINIMIZER_H_ |
| 32 | #define CERES_INTERNAL_COORDINATE_DESCENT_MINIMIZER_H_ |
| 33 | |
| 34 | #include <string> |
| 35 | #include <vector> |
| 36 | |
| 37 | #include "ceres/context_impl.h" |
| 38 | #include "ceres/evaluator.h" |
| 39 | #include "ceres/minimizer.h" |
| 40 | #include "ceres/problem_impl.h" |
| 41 | #include "ceres/solver.h" |
| 42 | |
| 43 | namespace ceres { |
| 44 | namespace internal { |
| 45 | |
| 46 | class Program; |
| 47 | class LinearSolver; |
| 48 | |
| 49 | // Given a Program, and a ParameterBlockOrdering which partitions |
| 50 | // (non-exhaustively) the Hessian matrix into independent sets, |
| 51 | // perform coordinate descent on the parameter blocks in the |
| 52 | // ordering. The independent set structure allows for all parameter |
| 53 | // blocks in the same independent set to be optimized in parallel, and |
| 54 | // the order of the independent set determines the order in which the |
| 55 | // parameter block groups are optimized. |
| 56 | // |
| 57 | // The minimizer assumes that none of the parameter blocks in the |
| 58 | // program are constant. |
| 59 | class CoordinateDescentMinimizer : public Minimizer { |
| 60 | public: |
| 61 | explicit CoordinateDescentMinimizer(ContextImpl* context); |
| 62 | |
| 63 | bool Init(const Program& program, |
| 64 | const ProblemImpl::ParameterMap& parameter_map, |
| 65 | const ParameterBlockOrdering& ordering, |
| 66 | std::string* error); |
| 67 | |
| 68 | // Minimizer interface. |
| 69 | virtual ~CoordinateDescentMinimizer(); |
| 70 | |
Austin Schuh | 1d1e6ea | 2020-12-23 21:56:30 -0800 | [diff] [blame^] | 71 | void Minimize(const Minimizer::Options& options, |
| 72 | double* parameters, |
| 73 | Solver::Summary* summary) final; |
Austin Schuh | 70cc955 | 2019-01-21 19:46:48 -0800 | [diff] [blame] | 74 | |
| 75 | // Verify that each group in the ordering forms an independent set. |
| 76 | static bool IsOrderingValid(const Program& program, |
| 77 | const ParameterBlockOrdering& ordering, |
| 78 | std::string* message); |
| 79 | |
| 80 | // Find a recursive decomposition of the Hessian matrix as a set |
| 81 | // of independent sets of decreasing size and invert it. This |
| 82 | // seems to work better in practice, i.e., Cameras before |
| 83 | // points. |
| 84 | static ParameterBlockOrdering* CreateOrdering(const Program& program); |
| 85 | |
| 86 | private: |
| 87 | void Solve(Program* program, |
| 88 | LinearSolver* linear_solver, |
| 89 | double* parameters, |
| 90 | Solver::Summary* summary); |
| 91 | |
| 92 | std::vector<ParameterBlock*> parameter_blocks_; |
| 93 | std::vector<std::vector<ResidualBlock*>> residual_blocks_; |
| 94 | // The optimization is performed in rounds. In each round all the |
| 95 | // parameter blocks that form one independent set are optimized in |
| 96 | // parallel. This array, marks the boundaries of the independent |
| 97 | // sets in parameter_blocks_. |
| 98 | std::vector<int> independent_set_offsets_; |
| 99 | |
| 100 | Evaluator::Options evaluator_options_; |
| 101 | |
| 102 | ContextImpl* context_; |
| 103 | }; |
| 104 | |
| 105 | } // namespace internal |
| 106 | } // namespace ceres |
| 107 | |
| 108 | #endif // CERES_INTERNAL_COORDINATE_DESCENT_MINIMIZER_H_ |