| // Ceres Solver - A fast non-linear least squares minimizer | |
| // Copyright 2026 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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| // | |
| // Authors: sameeragarwal@google.com (Sameer Agarwal) | |
| #include "Eigen/Dense" | |
| #include "benchmark/benchmark.h" | |
| #include "ceres/invert_psd_matrix.h" | |
| namespace ceres::internal { | |
| template <int kSize> | |
| void BenchmarkFixedSizedInvertPSDMatrix(benchmark::State& state) { | |
| using MatrixType = typename EigenTypes<kSize, kSize>::Matrix; | |
| MatrixType input = MatrixType::Random(); | |
| input += input.transpose() + MatrixType::Identity(); | |
| MatrixType output; | |
| constexpr bool kAssumeFullRank = true; | |
| for (auto _ : state) { | |
| benchmark::DoNotOptimize( | |
| output = InvertPSDMatrix<kSize>(kAssumeFullRank, input)); | |
| } | |
| } | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 1); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 2); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 3); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 4); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 5); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 6); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 7); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 8); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 9); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 10); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 11); | |
| BENCHMARK_TEMPLATE(BenchmarkFixedSizedInvertPSDMatrix, 12); | |
| static void BenchmarkDynamicallyInvertPSDMatrix(benchmark::State& state) { | |
| using MatrixType = | |
| typename EigenTypes<Eigen::Dynamic, Eigen::Dynamic>::Matrix; | |
| const int size = static_cast<int>(state.range(0)); | |
| MatrixType input = MatrixType::Random(size, size); | |
| input += input.transpose() + MatrixType::Identity(size, size); | |
| MatrixType output; | |
| constexpr bool kAssumeFullRank = true; | |
| for (auto _ : state) { | |
| benchmark::DoNotOptimize( | |
| output = InvertPSDMatrix<Eigen::Dynamic>(kAssumeFullRank, input)); | |
| } | |
| } | |
| BENCHMARK(BenchmarkDynamicallyInvertPSDMatrix)->Apply([](auto* benchmark) { | |
| for (int i = 1; i < 13; ++i) { | |
| benchmark->Args({i}); | |
| } | |
| }); | |
| } // namespace ceres::internal | |
| BENCHMARK_MAIN(); |