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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2022 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.
//
// ========================================
// 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/internal/config.h"
#include "bundle_adjustment_test_util.h"
#ifdef CERES_USE_EIGEN_SPARSE
namespace ceres {
namespace internal {
TEST_F(BundleAdjustmentTest,
SparseNormalCholesky_EigenSparse_AutomaticOrdering) { // NOLINT
BundleAdjustmentProblem bundle_adjustment_problem;
Solver::Options* options = bundle_adjustment_problem.mutable_solver_options();
options->num_threads = 1;
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 (kAutomaticOrdering) {
options->linear_solver_ordering = nullptr;
}
Problem* problem = bundle_adjustment_problem.mutable_problem();
RunSolverForConfigAndExpectResidualsMatch(*options, problem);
}
} // namespace internal
} // namespace ceres
#endif // CERES_USE_EIGEN_SPARSE
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