linear_solver.cc 4.3 KB

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  1. // Ceres Solver - A fast non-linear least squares minimizer
  2. // Copyright 2023 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. #include "ceres/linear_solver.h"
  31. #include <memory>
  32. #include "ceres/cgnr_solver.h"
  33. #include "ceres/dense_normal_cholesky_solver.h"
  34. #include "ceres/dense_qr_solver.h"
  35. #include "ceres/dynamic_sparse_normal_cholesky_solver.h"
  36. #include "ceres/internal/config.h"
  37. #include "ceres/iterative_schur_complement_solver.h"
  38. #include "ceres/schur_complement_solver.h"
  39. #include "ceres/sparse_normal_cholesky_solver.h"
  40. #include "ceres/types.h"
  41. #include "glog/logging.h"
  42. namespace ceres::internal {
  43. LinearSolver::~LinearSolver() = default;
  44. LinearSolverType LinearSolver::LinearSolverForZeroEBlocks(
  45. LinearSolverType linear_solver_type) {
  46. if (!IsSchurType(linear_solver_type)) {
  47. return linear_solver_type;
  48. }
  49. if (linear_solver_type == SPARSE_SCHUR) {
  50. return SPARSE_NORMAL_CHOLESKY;
  51. }
  52. if (linear_solver_type == DENSE_SCHUR) {
  53. // TODO(sameeragarwal): This is probably not a great choice.
  54. // Ideally, we should have a DENSE_NORMAL_CHOLESKY, that can take
  55. // a BlockSparseMatrix as input.
  56. return DENSE_QR;
  57. }
  58. if (linear_solver_type == ITERATIVE_SCHUR) {
  59. return CGNR;
  60. }
  61. return linear_solver_type;
  62. }
  63. std::unique_ptr<LinearSolver> LinearSolver::Create(
  64. const LinearSolver::Options& options) {
  65. CHECK(options.context != nullptr);
  66. switch (options.type) {
  67. case CGNR: {
  68. #ifndef CERES_NO_CUDA
  69. if (options.sparse_linear_algebra_library_type == CUDA_SPARSE) {
  70. std::string error;
  71. return CudaCgnrSolver::Create(options, &error);
  72. }
  73. #endif
  74. return std::make_unique<CgnrSolver>(options);
  75. } break;
  76. case SPARSE_NORMAL_CHOLESKY:
  77. #if defined(CERES_NO_SPARSE)
  78. return nullptr;
  79. #else
  80. if (options.dynamic_sparsity) {
  81. return std::make_unique<DynamicSparseNormalCholeskySolver>(options);
  82. }
  83. return std::make_unique<SparseNormalCholeskySolver>(options);
  84. #endif
  85. case SPARSE_SCHUR:
  86. #if defined(CERES_NO_SPARSE)
  87. return nullptr;
  88. #else
  89. return std::make_unique<SparseSchurComplementSolver>(options);
  90. #endif
  91. case DENSE_SCHUR:
  92. return std::make_unique<DenseSchurComplementSolver>(options);
  93. case ITERATIVE_SCHUR:
  94. if (options.use_explicit_schur_complement) {
  95. return std::make_unique<SparseSchurComplementSolver>(options);
  96. } else {
  97. return std::make_unique<IterativeSchurComplementSolver>(options);
  98. }
  99. case DENSE_QR:
  100. return std::make_unique<DenseQRSolver>(options);
  101. case DENSE_NORMAL_CHOLESKY:
  102. return std::make_unique<DenseNormalCholeskySolver>(options);
  103. default:
  104. LOG(FATAL) << "Unknown linear solver type :" << options.type;
  105. return nullptr; // MSVC doesn't understand that LOG(FATAL) never returns.
  106. }
  107. }
  108. } // namespace ceres::internal