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* Benches: use SmallRng instead of ChaCha12-based generators All benchmarks used StdRng or rand::rng() (ThreadRng), both backed by the ChaCha12 block cipher in rand 0.10. Benchmarks do not need crypto-strength randomness, and several draw random values inside the timed closure, so cipher work was included in the measurement itself. Switch every bench target to SmallRng (Xoshiro256++), and key the HNSW graph cache and sparse index cache by RNG algorithm so stale caches built from the old generator are not reused against newly generated vectors. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Benches: replace free-function rand::random with local SmallRng Addresses review: rand::random draws from the thread RNG (ChaCha12), including inside the timed loop of the pq score benchmark. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
67 lines
2.0 KiB
Rust
67 lines
2.0 KiB
Rust
use std::sync::atomic::AtomicBool;
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use common::counter::hardware_counter::HardwareCounterCell;
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use criterion::{Criterion, criterion_group, criterion_main};
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use quantization::encoded_storage::TestEncodedStorageBuilder;
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use quantization::encoded_vectors::{DistanceType, EncodedVectors, VectorParameters};
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use quantization::encoded_vectors_pq::{self, EncodedVectorsPQ};
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use rand::RngExt;
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use rand::rngs::SmallRng;
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fn encode_bench(c: &mut Criterion) {
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let mut group = c.benchmark_group("encode");
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let vectors_count = 100_000;
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let vector_dim = 1024;
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let mut rng = rand::make_rng::<SmallRng>();
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let mut list: Vec<f32> = Vec::new();
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for _ in 0..vectors_count {
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let vector: Vec<f32> = (0..vector_dim).map(|_| rng.random()).collect();
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list.extend_from_slice(&vector);
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}
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let vector_parameters = VectorParameters {
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dim: vector_dim,
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deprecated_count: None,
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distance_type: DistanceType::Dot,
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invert: false,
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};
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let quantized_vector_size =
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encoded_vectors_pq::get_quantized_vector_size(&vector_parameters, 2);
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let pq_encoded = EncodedVectorsPQ::encode(
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(0..vectors_count).map(|i| &list[i * vector_dim..(i + 1) * vector_dim]),
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TestEncodedStorageBuilder::new(None, quantized_vector_size),
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&vector_parameters,
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vectors_count,
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2,
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2,
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None,
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&AtomicBool::new(false),
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)
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.unwrap();
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let query: Vec<f32> = (0..vector_dim).map(|_| rng.random()).collect();
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let encoded_query = pq_encoded.encode_query(&query);
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let mut total = 0.0;
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let hardware_counter = HardwareCounterCell::new();
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group.bench_function("score random access pq", |b| {
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b.iter(|| {
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let random_idx = rng.random_range(0..vectors_count as u32);
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total += pq_encoded.score_point(&encoded_query, random_idx, &hardware_counter);
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});
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});
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println!("total: {total}");
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}
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criterion_group! {
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name = benches;
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config = Criterion::default().sample_size(10);
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targets = encode_bench
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}
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criterion_main!(benches);
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