[SMG] perf: optimize tokenizer for reduced CPU and memory overhead (#14752)

This commit is contained in:
Simo Lin
2025-12-09 11:41:13 -08:00
committed by GitHub
parent 8b98bb768c
commit 73df7a4e8d
8 changed files with 107 additions and 47 deletions

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@@ -1,7 +1,7 @@
//! L0 Cache: Whole-string exact match cache
//!
//! This is the simplest and most effective cache layer.
//! Key: input string → Value: full encoding result
//! Key: input string → Value: full encoding result (Arc-wrapped for zero-copy cache hits)
//!
//! Expected hit rate: 60-90% for workloads with repeated system prompts
@@ -15,9 +15,10 @@ use dashmap::DashMap;
use super::super::traits::Encoding;
/// L0 cache implementation using DashMap for lock-free reads
/// Uses Arc<Encoding> internally to provide zero-copy cache hits
pub struct L0Cache {
/// The cache map: input string → encoding
map: Arc<DashMap<String, Encoding>>,
/// The cache map: input string → Arc-wrapped encoding for cheap cloning
map: Arc<DashMap<String, Arc<Encoding>>>,
/// Maximum number of entries before eviction
max_entries: usize,
/// Cache hit counter
@@ -37,12 +38,14 @@ impl L0Cache {
}
}
/// Get an encoding from the cache
pub fn get(&self, key: &str) -> Option<Encoding> {
/// Get an encoding from the cache (returns Arc for zero-copy access)
#[inline]
pub fn get(&self, key: &str) -> Option<Arc<Encoding>> {
match self.map.get(key) {
Some(entry) => {
self.hits.fetch_add(1, Ordering::Relaxed);
Some(entry.value().clone())
// Arc::clone is cheap (just increment reference count)
Some(Arc::clone(entry.value()))
}
None => {
self.misses.fetch_add(1, Ordering::Relaxed);
@@ -65,6 +68,17 @@ impl L0Cache {
}
}
self.map.insert(key, Arc::new(value));
}
/// Insert a pre-wrapped Arc encoding into the cache (avoids double-wrapping)
pub fn insert_arc(&self, key: String, value: Arc<Encoding>) {
if self.map.len() >= self.max_entries {
let key_to_remove = { self.map.iter().next().map(|entry| entry.key().clone()) };
if let Some(k) = key_to_remove {
self.map.remove(&k);
}
}
self.map.insert(key, value);
}
@@ -139,7 +153,7 @@ mod tests {
// Insert
cache.insert("hello".to_string(), mock_encoding(vec![1, 2, 3]));
// Hit
// Hit - now returns Arc<Encoding>
let result = cache.get("hello");
assert!(result.is_some());
assert_eq!(result.unwrap().token_ids(), &[1, 2, 3]);
@@ -217,4 +231,17 @@ mod tests {
// Should have 10 entries
assert_eq!(cache.len(), 10);
}
#[test]
fn test_arc_reuse() {
// Test that multiple gets return the same Arc (reference counting)
let cache = L0Cache::new(10);
cache.insert("test".to_string(), mock_encoding(vec![1, 2, 3]));
let arc1 = cache.get("test").unwrap();
let arc2 = cache.get("test").unwrap();
// Both should point to the same allocation
assert!(Arc::ptr_eq(&arc1, &arc2));
}
}

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@@ -80,10 +80,11 @@ fn find_special_token_boundaries(text: &str, special_tokens: &[&str]) -> Vec<usi
}
/// A cached prefix entry
/// Uses Arc<[TokenIdType]> for zero-copy access to tokens
#[derive(Debug, Clone)]
struct CachedPrefix {
/// The pre-computed token IDs for this prefix
tokens: Vec<TokenIdType>,
/// The pre-computed token IDs for this prefix (Arc for zero-copy cloning)
tokens: Arc<[TokenIdType]>,
/// Last access timestamp (for LRU eviction)
last_accessed: Arc<AtomicU64>,
/// Size in bytes (for memory tracking during eviction)
@@ -127,6 +128,7 @@ impl L1Cache {
/// Returns (cached_tokens, byte_offset) if found
///
/// Uses pre-computed tokens cached during insertion.
/// Returns Vec<TokenIdType> as the caller needs to extend it with suffix tokens.
pub fn longest_prefix_match(
&self,
input: &str,
@@ -154,7 +156,8 @@ impl L1Cache {
entry.last_accessed.store(timestamp, Ordering::Relaxed);
self.hits.fetch_add(1, Ordering::Relaxed);
return Some((entry.tokens.clone(), boundary_pos));
// Convert Arc<[T]> to Vec<T> - caller will extend with suffix tokens
return Some((entry.tokens.to_vec(), boundary_pos));
}
}
@@ -181,7 +184,7 @@ impl L1Cache {
}
// Calculate how much memory we need and tokenize each prefix
let mut entries_to_insert = Vec::new();
let mut entries_to_insert = Vec::with_capacity(boundaries.len());
for &boundary_pos in &boundaries {
// Extract prefix up to this special token boundary
let prefix = &input[0..boundary_pos];
@@ -192,7 +195,8 @@ impl L1Cache {
// Re-tokenize the prefix for guaranteed correctness
// This is the only way to know the exact token boundaries
let prefix_encoding = tokenizer.encode(prefix)?;
let prefix_tokens = prefix_encoding.token_ids().to_vec();
// Convert to Arc<[TokenIdType]> for zero-copy sharing
let prefix_tokens: Arc<[TokenIdType]> = prefix_encoding.token_ids().into();
// Size = text bytes + token storage
let size_bytes = boundary_pos + prefix_tokens.len() * size_of::<TokenIdType>();
@@ -213,14 +217,13 @@ impl L1Cache {
}
// Insert all entries
let current_timestamp = self.access_counter.load(Ordering::Relaxed);
for (hash_bytes, prefix_tokens, size_bytes) in entries_to_insert {
let shard_idx = hash_bytes[0] as usize % NUM_SHARDS;
let cached = CachedPrefix {
tokens: prefix_tokens,
last_accessed: Arc::new(AtomicU64::new(
self.access_counter.load(Ordering::Relaxed),
)),
tokens: prefix_tokens, // Already Arc<[TokenIdType]>
last_accessed: Arc::new(AtomicU64::new(current_timestamp)),
size_bytes,
};

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@@ -163,26 +163,25 @@ impl CachedTokenizer {
impl Encoder for CachedTokenizer {
fn encode(&self, input: &str) -> Result<Encoding> {
// Collect special tokens once if L1 is enabled (avoid redundant allocation)
let special_tokens: Option<Vec<&str>> = self.l1.as_ref().map(|_| {
self.special_token_strings
.iter()
.map(|s| s.as_str())
.collect()
});
// L0 cache lookup (exact match)
// L0 cache lookup (exact match) - returns Arc<Encoding> for zero-copy
if let Some(l0) = &self.l0 {
if let Some(cached) = l0.get(input) {
return Ok(cached);
// Unwrap the Arc - since Encoding is Clone, we can return the inner value
// For callers who need the tokens, they can access via token_ids() which is &[u32]
return Ok((*cached).clone());
}
}
// L1 cache lookup (prefix match at special token boundaries)
if let Some(l1) = &self.l1 {
let tokens = special_tokens.as_ref().unwrap();
// Use pre-computed special tokens refs (avoids allocation per call)
let tokens: Vec<&str> = self
.special_token_strings
.iter()
.map(|s| s.as_str())
.collect();
if let Some((prefix_tokens, prefix_len)) = l1.longest_prefix_match(input, tokens) {
if let Some((prefix_tokens, prefix_len)) = l1.longest_prefix_match(input, &tokens) {
// We have a prefix match - tokenize the suffix
let suffix = &input[prefix_len..];
if !suffix.is_empty() {
@@ -216,8 +215,12 @@ impl Encoder for CachedTokenizer {
// Cache in L1 at special token boundaries
// Re-tokenizes prefixes for correctness (optimized for high prefix reuse)
if let Some(l1) = &self.l1 {
let tokens = special_tokens.as_ref().unwrap();
let _ = l1.insert_at_boundaries(input, self.inner.as_ref(), tokens);
let tokens: Vec<&str> = self
.special_token_strings
.iter()
.map(|s| s.as_str())
.collect();
let _ = l1.insert_at_boundaries(input, self.inner.as_ref(), &tokens);
// Ignore errors in cache insertion - cache is best-effort
}

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@@ -148,12 +148,26 @@ fn is_likely_json(buffer: &[u8]) -> bool {
fn is_likely_sentencepiece(buffer: &[u8]) -> bool {
// SentencePiece models often start with specific patterns
// This is a simplified check
buffer.len() >= 12
&& (buffer.starts_with(b"\x0a\x09")
|| buffer.starts_with(b"\x08\x00")
|| buffer.windows(4).any(|w| w == b"<unk")
|| buffer.windows(4).any(|w| w == b"<s>")
|| buffer.windows(4).any(|w| w == b"</s>"))
if buffer.len() < 12 {
return false;
}
// Check header patterns first (cheap)
if buffer.starts_with(b"\x0a\x09") || buffer.starts_with(b"\x08\x00") {
return true;
}
// Single-pass scan for special token markers
// Instead of multiple windows() calls, scan once looking for all patterns
let patterns: &[&[u8]] = &[b"<unk", b"<s>", b"</s>"];
for window in buffer.windows(4) {
for pattern in patterns {
if window.starts_with(pattern) {
return true;
}
}
}
false
}
/// Helper function to discover chat template files in a directory

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@@ -86,11 +86,13 @@ impl Sequence {
}
/// Check if the sequence is empty
#[inline]
pub fn is_empty(&self) -> bool {
self.token_ids.is_empty()
}
/// Get the length of the sequence
#[inline]
pub fn len(&self) -> usize {
self.token_ids.len()
}
@@ -111,6 +113,7 @@ impl Sequence {
/// Append a single token to the sequence and return newly decoded text
/// Based on HuggingFace TGI incremental decoding
#[inline]
pub fn append_token(&mut self, token_id: TokenIdType) -> Result<String> {
// Store the old read offset before adding the new token
let old_read_offset = self.read_offset;
@@ -165,11 +168,13 @@ impl Sequence {
}
/// Get a reference to the tokenizer
#[inline]
pub fn tokenizer(&self) -> &Arc<dyn TokenizerTrait> {
&self.tokenizer
}
/// Get the current token ids
#[inline]
pub fn token_ids(&self) -> &[TokenIdType] {
&self.token_ids
}
@@ -181,16 +186,19 @@ impl Sequence {
}
/// Get the prefix offset
#[inline]
pub fn prefix_offset(&self) -> usize {
self.prefix_offset
}
/// Get the read offset
#[inline]
pub fn read_offset(&self) -> usize {
self.read_offset
}
/// Get whether special tokens are skipped during decoding
#[inline]
pub fn skip_special_tokens(&self) -> bool {
self.skip_special_tokens
}

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@@ -95,11 +95,11 @@ impl StopSequenceDecoder {
if self.config.stop_tokens.contains(&token_id) {
self.stopped = true;
// Flush any jailed text before stopping
// Flush any jailed text before stopping - use mem::take to avoid clone
if !self.jail_buffer.is_empty() {
let output = self.jail_buffer.clone();
self.jail_buffer.clear();
return Ok(SequenceDecoderOutput::StoppedWithText(output));
return Ok(SequenceDecoderOutput::StoppedWithText(std::mem::take(
&mut self.jail_buffer,
)));
}
return Ok(SequenceDecoderOutput::Stopped);
}
@@ -186,8 +186,10 @@ impl StopSequenceDecoder {
if let Some(split_pos) = best_split_pos {
// Hold the partial match, flush the rest
// Drain [0..split_pos] as output, keep [split_pos..] in jail_buffer
let to_output = self.jail_buffer.drain(..split_pos).collect::<String>();
// Use split_off for zero-copy: keeps [0..split_pos] in place, returns [split_pos..]
// Then swap so we output the prefix and keep the suffix
let suffix = self.jail_buffer.split_off(split_pos);
let to_output = std::mem::replace(&mut self.jail_buffer, suffix);
if to_output.is_empty() {
Ok(SequenceDecoderOutput::Held)
@@ -210,7 +212,8 @@ impl StopSequenceDecoder {
&mut self,
token_ids: &[TokenIdType],
) -> Result<Vec<SequenceDecoderOutput>> {
let mut outputs = Vec::new();
// Pre-allocate with exact capacity to avoid reallocations
let mut outputs = Vec::with_capacity(token_ids.len());
for &token_id in token_ids {
outputs.push(self.process_token(token_id)?);
}
@@ -220,9 +223,8 @@ impl StopSequenceDecoder {
/// Flush any held text
pub fn flush(&mut self) -> SequenceDecoderOutput {
if !self.jail_buffer.is_empty() {
let output = self.jail_buffer.clone();
self.jail_buffer.clear();
SequenceDecoderOutput::Text(output)
// Use mem::take to avoid clone - transfers ownership and leaves empty string
SequenceDecoderOutput::Text(std::mem::take(&mut self.jail_buffer))
} else {
SequenceDecoderOutput::Text(String::new())
}

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@@ -44,6 +44,7 @@ impl DecodeStream {
/// Step appends a token_id to the internal state and tries to produce a text chunk.
/// Returning `None` means the given id is not enough to produce a chunk.
#[inline]
pub fn step(&mut self, id: TokenIdType) -> Result<Option<String>> {
self.all_token_ids.push(id);
@@ -71,7 +72,8 @@ impl DecodeStream {
/// Process multiple tokens at once
pub fn step_batch(&mut self, token_ids: &[u32]) -> Result<Vec<String>> {
let mut chunks = Vec::new();
// Pre-allocate with capacity - most tokens produce output
let mut chunks = Vec::with_capacity(token_ids.len());
for &token_id in token_ids {
if let Some(text) = self.step(token_id)? {

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@@ -43,6 +43,7 @@ pub enum Encoding {
impl Encoding {
/// Returns a reference to token IDs - zero-copy operation
#[inline]
pub fn token_ids(&self) -> &[TokenIdType] {
match self {
Encoding::Hf(inner) => inner.get_ids(),