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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2022 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
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// modification, are permitted provided that the following conditions are met:
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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 "bundle_adjustment_test_util.h"
#ifdef CERES_USE_EIGEN_SPARSE
#ifndef CERES_NO_THREADS
namespace ceres {
namespace internal {
TEST_F(BundleAdjustmentTest,
SparseNormalCholesky_EigenSparse_UserOrdering_Threads) { // NOLINT
BundleAdjustmentProblem bundle_adjustment_problem;
Solver::Options* options = bundle_adjustment_problem.mutable_solver_options();
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 internal
} // namespace ceres
#endif // CERES_NO_THREADS
#endif // CERES_USE_EIGEN_SPARSE