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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>
226 lines
7.5 KiB
Rust
226 lines
7.5 KiB
Rust
use std::sync::atomic::AtomicBool;
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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_storage::TestEncodedStorageBuilder;
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use quantization::encoded_vectors::{DistanceType, EncodedVectors, VectorParameters};
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use quantization::encoded_vectors_u8::{self, EncodedVectorsU8, ScalarQuantizationMethod};
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use rand::RngExt;
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use rand::rngs::SmallRng;
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fn encode_dot_bench(c: &mut Criterion) {
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let mut group = c.benchmark_group("encode dot");
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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 = encoded_vectors_u8::get_quantized_vector_size(&vector_parameters);
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let i8_encoded = EncodedVectorsU8::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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None,
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ScalarQuantizationMethod::Int8,
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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 = i8_encoded.encode_query(&query);
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#[cfg(target_arch = "x86_64")]
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group.bench_function("score all u8 avx", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_avx(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "x86_64")]
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group.bench_function("score all u8 sse", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_sse(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "aarch64")]
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group.bench_function("score all u8 neon", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_neon(&encoded_query, &quantized_vector);
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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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#[cfg(target_arch = "x86_64")]
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group.bench_function("score random access u8 avx", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_avx(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "x86_64")]
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group.bench_function("score random access u8 sse", |b| {
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let mut _s = 0.0;
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b.iter(|| {
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for &i in &permutation {
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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_sse(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "aarch64")]
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group.bench_function("score random access u8 neon", |b| {
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let mut _s = 0.0;
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b.iter(|| {
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for &i in &permutation {
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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_neon(&encoded_query, &quantized_vector);
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}
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});
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});
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}
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fn encode_l1_bench(c: &mut Criterion) {
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let mut group = c.benchmark_group("encode l1");
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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::L1,
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invert: true,
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};
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let quantized_vector_size = encoded_vectors_u8::get_quantized_vector_size(&vector_parameters);
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let i8_encoded = EncodedVectorsU8::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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None,
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ScalarQuantizationMethod::Int8,
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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 = i8_encoded.encode_query(&query);
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#[cfg(target_arch = "x86_64")]
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group.bench_function("score all u8 avx", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_avx(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "x86_64")]
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group.bench_function("score all u8 sse", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_sse(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "aarch64")]
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group.bench_function("score all u8 neon", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_neon(&encoded_query, &quantized_vector);
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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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#[cfg(target_arch = "x86_64")]
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group.bench_function("score random access u8 avx", |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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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_avx(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "x86_64")]
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group.bench_function("score random access u8 sse", |b| {
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let mut _s = 0.0;
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b.iter(|| {
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for &i in &permutation {
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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_sse(&encoded_query, &quantized_vector);
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}
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});
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});
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#[cfg(target_arch = "aarch64")]
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group.bench_function("score random access u8 neon", |b| {
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let mut _s = 0.0;
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b.iter(|| {
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for &i in &permutation {
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let quantized_vector = i8_encoded.get_quantized_vector(i);
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_s = i8_encoded.score_point_neon(&encoded_query, &quantized_vector);
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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 = encode_dot_bench, encode_l1_bench
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}
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criterion_main!(benches);
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