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https://github.com/qdrant/qdrant.git
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* Bump Rust edition to 2024 * gen is a reserved keyword now * Remove ref mut on references * Mark extern C as unsafe * Wrap unsafe function bodies in unsafe block * Geo hash implements Copy, don't reference but pass by value instead * Replace secluded self import with parent * Update execute_cluster_read_operation with new match semantics * Fix lifetime issue * Replace map_or with is_none_or * set_var is unsafe now * Reformat
117 lines
3.5 KiB
Rust
117 lines
3.5 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 permutation_iterator::Permutor;
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use quantization::encoded_vectors::{DistanceType, EncodedVectors, VectorParameters};
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use quantization::encoded_vectors_binary::EncodedVectorsBin;
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use rand::{Rng, SeedableRng};
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fn generate_number(rng: &mut rand::rngs::StdRng) -> f32 {
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let n = f32::signum(rng.random_range(-1.0..1.0));
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if n == 0.0 { 1.0 } else { n }
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}
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fn generate_vector(dim: usize, rng: &mut rand::rngs::StdRng) -> Vec<f32> {
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(0..dim).map(|_| generate_number(rng)).collect()
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}
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fn binary_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::rngs::StdRng::seed_from_u64(42);
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let mut vectors: Vec<Vec<f32>> = (0..vectors_count)
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.map(|_| generate_vector(vector_dim, &mut rng))
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.collect();
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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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vectors.push(vector);
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}
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let encoded_u128 = EncodedVectorsBin::<u128, _>::encode(
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vectors.iter(),
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Vec::<u8>::new(),
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&VectorParameters {
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dim: vector_dim,
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count: vectors_count,
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distance_type: DistanceType::Dot,
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invert: false,
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},
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&AtomicBool::new(false),
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)
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.unwrap();
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let query = generate_vector(vector_dim, &mut rng);
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let encoded_query = encoded_u128.encode_query(&query);
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let hardware_counter = HardwareCounterCell::new();
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group.bench_function("score binary linear access u128", |b| {
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b.iter(|| {
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let mut _s = 0.0;
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for i in 0..vectors_count as u32 {
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_s = encoded_u128.score_point(&encoded_query, i, &hardware_counter);
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}
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});
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});
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let permutor = Permutor::new(vectors_count as u64);
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let permutation: Vec<u32> = permutor.map(|i| i as u32).collect();
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group.bench_function("score binary random access u128", |b| {
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b.iter(|| {
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let mut _s = 0.0;
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for &i in &permutation {
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_s = encoded_u128.score_point(&encoded_query, i, &hardware_counter);
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}
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});
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});
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let encoded_u8 = EncodedVectorsBin::<u8, _>::encode(
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vectors.iter(),
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Vec::<u8>::new(),
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&VectorParameters {
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dim: vector_dim,
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count: vectors_count,
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distance_type: DistanceType::Dot,
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invert: false,
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},
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&AtomicBool::new(false),
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)
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.unwrap();
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let query = generate_vector(vector_dim, &mut rng);
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let encoded_query = encoded_u8.encode_query(&query);
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group.bench_function("score binary linear access u8", |b| {
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b.iter(|| {
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let mut _s = 0.0;
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for i in 0..vectors_count as u32 {
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_s = encoded_u8.score_point(&encoded_query, i, &hardware_counter);
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}
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});
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});
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let permutor = Permutor::new(vectors_count as u64);
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let permutation: Vec<u32> = permutor.map(|i| i as u32).collect();
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group.bench_function("score binary random access u8", |b| {
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b.iter(|| {
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let mut _s = 0.0;
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for &i in &permutation {
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_s = encoded_u8.score_point(&encoded_query, i, &hardware_counter);
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}
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});
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});
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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 = binary_bench
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}
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criterion_main!(benches);
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