Files
qdrant/lib/quantization/benches/binary.rs
Arnaud Gourlay c196d2eb1a Benches: use SmallRng instead of ChaCha12-based generators (#9887)
* 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>
2026-07-17 17:22:27 +02:00

271 lines
8.6 KiB
Rust

#![expect(clippy::wildcard_enum_match_arm, reason = "benchmarks")]
use std::hint::black_box;
use std::sync::atomic::AtomicBool;
use common::counter::hardware_counter::HardwareCounterCell;
use criterion::{Criterion, criterion_group, criterion_main};
use permutation_iterator::Permutor;
use quantization::encoded_storage::TestEncodedStorageBuilder;
use quantization::encoded_vectors::{DistanceType, EncodedVectors, VectorParameters};
use quantization::encoded_vectors_binary::{
self, EncodedQueryBQ, EncodedVectorsBin, Encoding, QueryEncoding,
};
use rand::{RngExt, SeedableRng};
fn generate_number(rng: &mut rand::rngs::SmallRng) -> f32 {
let n = f32::signum(rng.random_range(-1.0..1.0));
if n == 0.0 { 1.0 } else { n }
}
fn generate_vector(dim: usize, rng: &mut rand::rngs::SmallRng) -> Vec<f32> {
(0..dim).map(|_| generate_number(rng)).collect()
}
fn binary_bench(c: &mut Criterion) {
let mut group = c.benchmark_group("encode");
let vectors_count = 100_000;
let vector_dim = 1024;
let mut rng = rand::rngs::SmallRng::seed_from_u64(42);
let mut vectors: Vec<Vec<f32>> = (0..vectors_count)
.map(|_| generate_vector(vector_dim, &mut rng))
.collect();
for _ in 0..vectors_count {
let vector: Vec<f32> = (0..vector_dim).map(|_| rng.random()).collect();
vectors.push(vector);
}
let quantized_vector_size = encoded_vectors_binary::get_quantized_vector_size_from_params::<u128>(
vector_dim,
Encoding::OneBit,
);
let encoded_u128 = EncodedVectorsBin::<u128, _>::encode(
vectors.iter(),
TestEncodedStorageBuilder::new(None, quantized_vector_size),
&VectorParameters {
dim: vector_dim,
deprecated_count: None,
distance_type: DistanceType::Dot,
invert: false,
},
Encoding::OneBit,
QueryEncoding::SameAsStorage,
None,
&AtomicBool::new(false),
)
.unwrap();
let query = generate_vector(vector_dim, &mut rng);
let encoded_query = encoded_u128.encode_query(&query);
let hardware_counter = HardwareCounterCell::new();
group.bench_function("score binary linear access u128", |b| {
b.iter(|| {
for i in 0..vectors_count as u32 {
let s = encoded_u128.score_point(&encoded_query, i, &hardware_counter);
black_box(s);
}
});
});
let permutor = Permutor::new(vectors_count as u64);
let permutation: Vec<u32> = permutor.map(|i| i as u32).collect();
group.bench_function("score binary random access u128", |b| {
b.iter(|| {
for &i in &permutation {
let s = encoded_u128.score_point(&encoded_query, i, &hardware_counter);
black_box(s);
}
});
});
let quantized_vector_size = encoded_vectors_binary::get_quantized_vector_size_from_params::<u8>(
vector_dim,
Encoding::OneBit,
);
let encoded_u8 = EncodedVectorsBin::<u8, _>::encode(
vectors.iter(),
TestEncodedStorageBuilder::new(None, quantized_vector_size),
&VectorParameters {
dim: vector_dim,
deprecated_count: None,
distance_type: DistanceType::Dot,
invert: false,
},
Encoding::OneBit,
QueryEncoding::SameAsStorage,
None,
&AtomicBool::new(false),
)
.unwrap();
let query = generate_vector(vector_dim, &mut rng);
let encoded_query = encoded_u8.encode_query(&query);
group.bench_function("score binary linear access u8", |b| {
b.iter(|| {
for i in 0..vectors_count as u32 {
let s = encoded_u8.score_point(&encoded_query, i, &hardware_counter);
black_box(s);
}
});
});
let permutor = Permutor::new(vectors_count as u64);
let permutation: Vec<u32> = permutor.map(|i| i as u32).collect();
group.bench_function("score binary random access u8", |b| {
b.iter(|| {
for &i in &permutation {
let s = encoded_u8.score_point(&encoded_query, i, &hardware_counter);
black_box(s);
}
});
});
}
fn binary_scalar_query_bench_impl(c: &mut Criterion) {
let mut group = c.benchmark_group("binary_u128_scalar_query");
let vectors_count = 100_000;
let vector_dim = 1024;
let mut rng = rand::rngs::SmallRng::seed_from_u64(42);
let mut vectors: Vec<Vec<f32>> = (0..vectors_count)
.map(|_| generate_vector(vector_dim, &mut rng))
.collect();
for _ in 0..vectors_count {
let vector: Vec<f32> = (0..vector_dim).map(|_| rng.random()).collect();
vectors.push(vector);
}
let quantized_vector_size = encoded_vectors_binary::get_quantized_vector_size_from_params::<u128>(
vector_dim,
Encoding::OneBit,
);
let encoded_u128 = EncodedVectorsBin::<u128, _>::encode(
vectors.iter(),
TestEncodedStorageBuilder::new(None, quantized_vector_size),
&VectorParameters {
dim: vector_dim,
deprecated_count: None,
distance_type: DistanceType::Dot,
invert: false,
},
Encoding::OneBit,
QueryEncoding::Scalar8bits,
None,
&AtomicBool::new(false),
)
.unwrap();
let query = generate_vector(vector_dim, &mut rng);
let encoded_query = encoded_u128.encode_query(&query);
let hardware_counter = HardwareCounterCell::new();
let permutor = Permutor::new(vectors_count as u64);
let permutation: Vec<u32> = permutor.map(|i| i as u32).collect();
group.bench_function("binary u128 scalar query", |b| {
b.iter(|| {
for &i in &permutation {
let s = encoded_u128.score_point(&encoded_query, i, &hardware_counter);
black_box(s);
}
});
});
let native_scorer = |query: &[u128], vector: &[u128]| {
let mut result = 0;
for (&b1, b2_chunk) in vector.iter().zip(query.as_chunks::<8>().0) {
for (i, &b2) in b2_chunk.iter().enumerate() {
result += (b1 ^ b2).count_ones() << i;
}
}
result as usize
};
let query = match &encoded_query {
EncodedQueryBQ::Scalar8bits(encoded) => &encoded.encoded_vector,
_ => panic!("Expected Scalar8bits"),
};
group.bench_function("binary u128 scalar query native", |b| {
b.iter(|| {
for &i in &permutation {
let vector = encoded_u128.get_quantized_vector(i);
let vector = bytemuck::cast_slice::<u8, u128>(&vector);
let s = native_scorer(query, vector);
black_box(s);
}
});
});
let quantized_vector_size = encoded_vectors_binary::get_quantized_vector_size_from_params::<u8>(
vector_dim,
Encoding::OneBit,
);
let encoded_u8 = EncodedVectorsBin::<u8, _>::encode(
vectors.iter(),
TestEncodedStorageBuilder::new(None, quantized_vector_size),
&VectorParameters {
dim: vector_dim,
deprecated_count: None,
distance_type: DistanceType::Dot,
invert: false,
},
Encoding::OneBit,
QueryEncoding::Scalar8bits,
None,
&AtomicBool::new(false),
)
.unwrap();
let query = generate_vector(vector_dim, &mut rng);
let encoded_query = encoded_u8.encode_query(&query);
group.bench_function("binary u8 scalar query", |b| {
b.iter(|| {
for &i in &permutation {
let s = encoded_u8.score_point(&encoded_query, i, &hardware_counter);
black_box(s);
}
});
});
let native_scorer = |query: &[u8], vector: &[u8]| {
let mut result = 0;
for (&b1, b2_chunk) in vector.iter().zip(query.as_chunks::<8>().0) {
for (i, &b2) in b2_chunk.iter().enumerate() {
result += (b1 ^ b2).count_ones() << i;
}
}
result as usize
};
let query = match &encoded_query {
EncodedQueryBQ::Scalar8bits(encoded) => &encoded.encoded_vector,
_ => panic!("Expected Scalar8bits"),
};
group.bench_function("binary u8 scalar query native", |b| {
b.iter(|| {
for &i in &permutation {
let vector = encoded_u8.get_quantized_vector(i);
let s = native_scorer(query, &vector);
black_box(s);
}
});
});
}
criterion_group! {
name = benches;
config = Criterion::default().sample_size(10);
targets = binary_bench, binary_scalar_query_bench_impl
}
criterion_main!(benches);