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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: keir@google.com (Keir Mierle)
- #include "ceres/evaluator.h"
- #include <memory>
- #include <vector>
- #include "ceres/block_evaluate_preparer.h"
- #include "ceres/block_jacobian_writer.h"
- #include "ceres/compressed_row_jacobian_writer.h"
- #include "ceres/compressed_row_sparse_matrix.h"
- #include "ceres/crs_matrix.h"
- #include "ceres/dense_jacobian_writer.h"
- #include "ceres/dynamic_compressed_row_finalizer.h"
- #include "ceres/dynamic_compressed_row_jacobian_writer.h"
- #include "ceres/internal/export.h"
- #include "ceres/program_evaluator.h"
- #include "ceres/scratch_evaluate_preparer.h"
- #include "glog/logging.h"
- namespace ceres::internal {
- Evaluator::~Evaluator() = default;
- std::unique_ptr<Evaluator> Evaluator::Create(const Evaluator::Options& options,
- Program* program,
- std::string* error) {
- CHECK(options.context != nullptr);
- switch (options.linear_solver_type) {
- case DENSE_QR:
- case DENSE_NORMAL_CHOLESKY:
- return std::make_unique<
- ProgramEvaluator<ScratchEvaluatePreparer, DenseJacobianWriter>>(
- options, program);
- case DENSE_SCHUR:
- case SPARSE_SCHUR:
- case ITERATIVE_SCHUR:
- case CGNR: {
- if (options.sparse_linear_algebra_library_type == CUDA_SPARSE) {
- return std::make_unique<ProgramEvaluator<ScratchEvaluatePreparer,
- CompressedRowJacobianWriter>>(
- options, program);
- } else {
- return std::make_unique<
- ProgramEvaluator<BlockEvaluatePreparer, BlockJacobianWriter>>(
- options, program);
- }
- }
- case SPARSE_NORMAL_CHOLESKY:
- if (options.dynamic_sparsity) {
- return std::make_unique<
- ProgramEvaluator<ScratchEvaluatePreparer,
- DynamicCompressedRowJacobianWriter,
- DynamicCompressedRowJacobianFinalizer>>(options,
- program);
- } else {
- return std::make_unique<
- ProgramEvaluator<BlockEvaluatePreparer, BlockJacobianWriter>>(
- options, program);
- }
- default:
- *error = "Invalid Linear Solver Type. Unable to create evaluator.";
- return nullptr;
- }
- }
- } // namespace ceres::internal
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