|  | // 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: | 
|  | // | 
|  | // * 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. | 
|  |  | 
|  | #include "benchmark/benchmark.h" | 
|  | #include "ceres/context_impl.h" | 
|  | #include "ceres/internal/eigen.h" | 
|  | #include "ceres/parallel_for.h" | 
|  | #include "glog/logging.h" | 
|  |  | 
|  | namespace ceres::internal { | 
|  |  | 
|  | // Parallel for with very small amount of work per iteration and small amount of | 
|  | // iterations benchmarks performance of task scheduling | 
|  | static void SchedulerBenchmark(benchmark::State& state) { | 
|  | const int vector_size = static_cast<int>(state.range(0)); | 
|  | const int num_threads = static_cast<int>(state.range(1)); | 
|  | ContextImpl context; | 
|  | context.EnsureMinimumThreads(num_threads); | 
|  |  | 
|  | Vector x = Vector::Random(vector_size); | 
|  | for (auto _ : state) { | 
|  | ParallelFor( | 
|  | &context, 0, vector_size, num_threads, [&x](int id) { x[id] = 0.; }); | 
|  | } | 
|  | CHECK_EQ(x.squaredNorm(), 0.); | 
|  | } | 
|  | BENCHMARK(SchedulerBenchmark) | 
|  | ->Args({128, 1}) | 
|  | ->Args({128, 2}) | 
|  | ->Args({128, 4}) | 
|  | ->Args({128, 8}) | 
|  | ->Args({128, 16}) | 
|  | ->Args({256, 1}) | 
|  | ->Args({256, 2}) | 
|  | ->Args({256, 4}) | 
|  | ->Args({256, 8}) | 
|  | ->Args({256, 16}) | 
|  | ->Args({1024, 1}) | 
|  | ->Args({1024, 2}) | 
|  | ->Args({1024, 4}) | 
|  | ->Args({1024, 8}) | 
|  | ->Args({1024, 16}) | 
|  | ->Args({4096, 1}) | 
|  | ->Args({4096, 2}) | 
|  | ->Args({4096, 4}) | 
|  | ->Args({4096, 8}) | 
|  | ->Args({4096, 16}); | 
|  |  | 
|  | }  // namespace ceres::internal | 
|  |  | 
|  | BENCHMARK_MAIN(); |