| // 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: |
| // |
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| // this list of conditions and the following disclaimer. |
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| // specific prior written permission. |
| // |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
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| // |
| // ======================================== |
| // THIS FILE IS AUTOGENERATED. DO NOT EDIT. |
| // THIS FILE IS AUTOGENERATED. DO NOT EDIT. |
| // THIS FILE IS AUTOGENERATED. DO NOT EDIT. |
| // THIS FILE IS AUTOGENERATED. DO NOT EDIT. |
| // ======================================== |
| // |
| // This file is generated using generate_bundle_adjustment_tests.py. |
| |
| #include "ceres/bundle_adjustment_test_util.h" |
| #include "ceres/internal/config.h" |
| #include "gtest/gtest.h" |
| |
| #ifdef CERES_USE_EIGEN_SPARSE |
| |
| namespace ceres::internal { |
| |
| TEST_F(BundleAdjustmentTest, |
| SparseNormalCholesky_EigenSparse_UserOrdering_Threads) { // NOLINT |
| BundleAdjustmentProblem bundle_adjustment_problem; |
| Solver::Options* options = bundle_adjustment_problem.mutable_solver_options(); |
| options->eta = 0.01; |
| options->num_threads = 4; |
| options->linear_solver_type = SPARSE_NORMAL_CHOLESKY; |
| options->dense_linear_algebra_library_type = EIGEN; |
| options->sparse_linear_algebra_library_type = EIGEN_SPARSE; |
| options->preconditioner_type = IDENTITY; |
| if (kUserOrdering) { |
| options->linear_solver_ordering = nullptr; |
| } |
| Problem* problem = bundle_adjustment_problem.mutable_problem(); |
| RunSolverForConfigAndExpectResidualsMatch(*options, problem); |
| } |
| |
| } // namespace ceres::internal |
| |
| #endif // CERES_USE_EIGEN_SPARSE |