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- #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;
- }
- }
- }
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