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- // Ceres Solver - A fast non-linear least squares minimizer
- // Copyright 2023 Google Inc. All rights reserved.
- // http://ceres-solver.org/
- //
- // Redistribution and use in source and binary forms, with or without
- // modification, are permitted provided that the following conditions are met:
- //
- // * Redistributions of source code must retain the above copyright notice,
- // this list of conditions and the following disclaimer.
- // * Redistributions in binary form must reproduce the above copyright notice,
- // this list of conditions and the following disclaimer in the documentation
- // and/or other materials provided with the distribution.
- // * Neither the name of Google Inc. nor the names of its contributors may be
- // used to endorse or promote products derived from this software without
- // specific prior written permission.
- //
- // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
- // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
- // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
- // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
- // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
- // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
- // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
- // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
- // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
- // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
- // POSSIBILITY OF SUCH DAMAGE.
- //
- // Author: sameeragarwal@google.com (Sameer Agarwal)
- #include "ceres/linear_solver.h"
- #include <memory>
- #include "ceres/cgnr_solver.h"
- #include "ceres/dense_normal_cholesky_solver.h"
- #include "ceres/dense_qr_solver.h"
- #include "ceres/dynamic_sparse_normal_cholesky_solver.h"
- #include "ceres/internal/config.h"
- #include "ceres/iterative_schur_complement_solver.h"
- #include "ceres/schur_complement_solver.h"
- #include "ceres/sparse_normal_cholesky_solver.h"
- #include "ceres/types.h"
- #include "glog/logging.h"
- namespace ceres::internal {
- LinearSolver::~LinearSolver() = default;
- LinearSolverType LinearSolver::LinearSolverForZeroEBlocks(
- LinearSolverType linear_solver_type) {
- if (!IsSchurType(linear_solver_type)) {
- return linear_solver_type;
- }
- if (linear_solver_type == SPARSE_SCHUR) {
- return SPARSE_NORMAL_CHOLESKY;
- }
- if (linear_solver_type == DENSE_SCHUR) {
- // TODO(sameeragarwal): This is probably not a great choice.
- // Ideally, we should have a DENSE_NORMAL_CHOLESKY, that can take
- // a BlockSparseMatrix as input.
- return DENSE_QR;
- }
- if (linear_solver_type == ITERATIVE_SCHUR) {
- return CGNR;
- }
- return linear_solver_type;
- }
- std::unique_ptr<LinearSolver> LinearSolver::Create(
- const LinearSolver::Options& options) {
- CHECK(options.context != nullptr);
- switch (options.type) {
- case CGNR: {
- #ifndef CERES_NO_CUDA
- if (options.sparse_linear_algebra_library_type == CUDA_SPARSE) {
- std::string error;
- return CudaCgnrSolver::Create(options, &error);
- }
- #endif
- return std::make_unique<CgnrSolver>(options);
- } break;
- case SPARSE_NORMAL_CHOLESKY:
- #if defined(CERES_NO_SPARSE)
- return nullptr;
- #else
- if (options.dynamic_sparsity) {
- return std::make_unique<DynamicSparseNormalCholeskySolver>(options);
- }
- return std::make_unique<SparseNormalCholeskySolver>(options);
- #endif
- case SPARSE_SCHUR:
- #if defined(CERES_NO_SPARSE)
- return nullptr;
- #else
- return std::make_unique<SparseSchurComplementSolver>(options);
- #endif
- case DENSE_SCHUR:
- return std::make_unique<DenseSchurComplementSolver>(options);
- case ITERATIVE_SCHUR:
- if (options.use_explicit_schur_complement) {
- return std::make_unique<SparseSchurComplementSolver>(options);
- } else {
- return std::make_unique<IterativeSchurComplementSolver>(options);
- }
- case DENSE_QR:
- return std::make_unique<DenseQRSolver>(options);
- case DENSE_NORMAL_CHOLESKY:
- return std::make_unique<DenseNormalCholeskySolver>(options);
- default:
- LOG(FATAL) << "Unknown linear solver type :" << options.type;
- return nullptr; // MSVC doesn't understand that LOG(FATAL) never returns.
- }
- }
- } // namespace ceres::internal
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