2021-05-16 07:11:37 +00:00
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use criterion::{criterion_group, criterion_main, BatchSize, Bencher, Criterion};
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use pyo3::{prelude::*, GILPool};
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2022-03-23 07:07:28 +00:00
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fn bench_clean_gilpool_new(b: &mut Bencher<'_>) {
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2021-05-16 07:11:37 +00:00
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Python::with_gil(|_py| {
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b.iter(|| {
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let _ = unsafe { GILPool::new() };
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});
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});
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}
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2022-03-23 07:07:28 +00:00
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fn bench_clean_acquire_gil(b: &mut Bencher<'_>) {
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2021-05-16 07:11:37 +00:00
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// Acquiring first GIL will also create a "clean" GILPool, so this measures the Python overhead.
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2022-08-14 06:44:11 +00:00
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b.iter(|| Python::with_gil(|_| {}));
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2021-05-16 07:11:37 +00:00
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}
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2022-03-23 07:07:28 +00:00
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fn bench_dirty_acquire_gil(b: &mut Bencher<'_>) {
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2021-05-16 07:11:37 +00:00
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let obj = Python::with_gil(|py| py.None());
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b.iter_batched(
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|| {
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// Clone and drop an object so that the GILPool has work to do.
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let _ = obj.clone();
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},
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2022-08-14 06:44:11 +00:00
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|_| Python::with_gil(|_| {}),
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2021-05-16 07:11:37 +00:00
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BatchSize::NumBatches(1),
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);
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}
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fn criterion_benchmark(c: &mut Criterion) {
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c.bench_function("clean_gilpool_new", bench_clean_gilpool_new);
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c.bench_function("clean_acquire_gil", bench_clean_acquire_gil);
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c.bench_function("dirty_acquire_gil", bench_dirty_acquire_gil);
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}
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criterion_group!(benches, criterion_benchmark);
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criterion_main!(benches);
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