mirror of
https://github.com/qdrant/qdrant.git
synced 2026-07-26 04:31:02 -05:00
* use CowMultiVector as return type from storages * add advice to OpenOptions * Implement ChunkedVectors with generic storage * rename ChunkedVectors->VolatileChunkedVectors and ChunkedMmapVectors-> ChunkedVectors * propagate everywhere fix tests * [auto] rename BytesRange -> ElementsRange * [auto] rename BytesOffset -> ElementOffset * coderabbit nits --------- Co-authored-by: generall <andrey@vasnetsov.com>
273 lines
8.7 KiB
Rust
273 lines
8.7 KiB
Rust
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::{TestEncodedStorage, TestEncodedStorageBuilder};
|
|
use quantization::encoded_vectors::{DistanceType, EncodedVectors, VectorParameters};
|
|
use quantization::encoded_vectors_binary::{
|
|
EncodedQueryBQ, EncodedVectorsBin, Encoding, QueryEncoding,
|
|
};
|
|
use rand::{RngExt, SeedableRng};
|
|
|
|
fn generate_number(rng: &mut rand::rngs::StdRng) -> 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::StdRng) -> 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::StdRng::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 =
|
|
EncodedVectorsBin::<u128, TestEncodedStorage>::get_quantized_vector_size_from_params(
|
|
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 =
|
|
EncodedVectorsBin::<u8, TestEncodedStorage>::get_quantized_vector_size_from_params(
|
|
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::StdRng::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 =
|
|
EncodedVectorsBin::<u128, TestEncodedStorage>::get_quantized_vector_size_from_params(
|
|
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.chunks_exact(8)) {
|
|
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 =
|
|
EncodedVectorsBin::<u8, TestEncodedStorage>::get_quantized_vector_size_from_params(
|
|
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.chunks_exact(8)) {
|
|
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);
|