mujoco / data /test /benchmark /sort_benchmark_test.cc
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// Copyright 2025 DeepMind Technologies Limited
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <algorithm>
#include <random>
#include <vector>
#include "benchmark/benchmark.h"
#include <absl/base/attributes.h>
#include <mujoco/mujoco.h>
#include "src/engine/engine_sort.h"
namespace mujoco {
namespace {
// A struct with data to be sorted.
struct Sortable {
mjtNum value;
int id1;
int id2;
};
// Comparison function for Sortable struct.
int CompareSortable(const Sortable* a, const Sortable* b, void* context) {
if (a->value < b->value) {
return -1;
} else if (a->value == b->value) {
return 0;
} else {
return 1;
}
}
// Instantiate the sort function.
mjSORT(SortSortable, Sortable, CompareSortable)
// Generate data for sorting benchmarks.
std::vector<Sortable> GenerateData(int n, double unsorted_fraction) {
std::vector<Sortable> data(n);
for (int i = 0; i < n; ++i) {
data[i] = {static_cast<mjtNum>(i), i, -i};
}
if (unsorted_fraction > 0.0) {
std::mt19937 g(12345);
if (unsorted_fraction >= 1.0) {
std::shuffle(data.begin(), data.end(), g);
} else {
int num_to_shuffle = n * unsorted_fraction;
for (int i = 0; i < num_to_shuffle; ++i) {
int j = std::uniform_int_distribution<int>(i, n - 1)(g);
std::swap(data[i], data[j]);
}
}
}
return data;
}
// Run a sorting benchmark with the given size and unsorted fraction.
ABSL_ATTRIBUTE_NO_TAIL_CALL static void SortBenchmark(
benchmark::State& state, int n, double unsorted_fraction) {
auto data = GenerateData(n, unsorted_fraction);
std::vector<Sortable> buf(n);
std::vector<Sortable> copy = data;
for (auto s : state) {
state.PauseTiming();
copy = data;
state.ResumeTiming();
SortSortable(copy.data(), buf.data(), n, nullptr);
}
state.counters["items/s"] =
benchmark::Counter(state.iterations() * n, benchmark::Counter::kIsRate);
}
// Define benchmarks.
void BM_Sort_1k_AlmostSorted(benchmark::State& state) {
SortBenchmark(state, 1000, 0.05);
}
BENCHMARK(BM_Sort_1k_AlmostSorted);
void BM_Sort_1k_Random(benchmark::State& state) {
SortBenchmark(state, 1000, 1.0);
}
BENCHMARK(BM_Sort_1k_Random);
void BM_Sort_100k_AlmostSorted(benchmark::State& state) {
SortBenchmark(state, 100000, 0.05);
}
BENCHMARK(BM_Sort_100k_AlmostSorted);
void BM_Sort_100k_Random(benchmark::State& state) {
SortBenchmark(state, 100000, 1.0);
}
BENCHMARK(BM_Sort_100k_Random);
// Run a sorting benchmark with std::stable_sort
ABSL_ATTRIBUTE_NO_TAIL_CALL static void StdSortBenchmark(
benchmark::State& state, int n, double unsorted_fraction) {
auto data = GenerateData(n, unsorted_fraction);
std::vector<Sortable> copy = data;
for (auto s : state) {
state.PauseTiming();
copy = data;
state.ResumeTiming();
std::stable_sort(
copy.begin(), copy.end(),
[](const Sortable& a, const Sortable& b) { return a.value < b.value; });
}
state.counters["items/s"] =
benchmark::Counter(state.iterations() * n, benchmark::Counter::kIsRate);
}
void BM_StdSort_1k_AlmostSorted(benchmark::State& state) {
StdSortBenchmark(state, 1000, 0.05);
}
BENCHMARK(BM_StdSort_1k_AlmostSorted);
void BM_StdSort_1k_Random(benchmark::State& state) {
StdSortBenchmark(state, 1000, 1.0);
}
BENCHMARK(BM_StdSort_1k_Random);
void BM_StdSort_100k_AlmostSorted(benchmark::State& state) {
StdSortBenchmark(state, 100000, 0.05);
}
BENCHMARK(BM_StdSort_100k_AlmostSorted);
void BM_StdSort_100k_Random(benchmark::State& state) {
StdSortBenchmark(state, 100000, 1.0);
}
BENCHMARK(BM_StdSort_100k_Random);
} // namespace
} // namespace mujoco
int main(int argc, char** argv) {
benchmark::Initialize(&argc, argv);
benchmark::RunSpecifiedBenchmarks();
return 0;
}