[router] remove all tokenizer metrics for performance (#9474)
This commit is contained in:
@@ -1,11 +1,9 @@
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use super::traits::{self, Tokenizer as TokenizerTrait};
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use crate::metrics::TokenizerMetrics;
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use super::traits;
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use anyhow::{Error, Result};
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use std::fs::File;
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use std::io::Read;
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use std::path::Path;
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use std::sync::Arc;
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use std::time::Instant;
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#[cfg(feature = "huggingface")]
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use super::huggingface::HuggingFaceTokenizer;
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@@ -34,8 +32,6 @@ pub fn create_tokenizer_with_chat_template(
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file_path: &str,
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chat_template_path: Option<&str>,
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) -> Result<Arc<dyn traits::Tokenizer>> {
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let start_time = Instant::now();
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// Special case for testing
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if file_path == "mock" || file_path == "test" {
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return Ok(Arc::new(super::mock::MockTokenizer::new()));
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@@ -45,7 +41,6 @@ pub fn create_tokenizer_with_chat_template(
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// Check if file exists
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if !path.exists() {
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TokenizerMetrics::record_factory_error("file_not_found");
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return Err(Error::msg(format!("File not found: {}", file_path)));
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}
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@@ -64,14 +59,10 @@ pub fn create_tokenizer_with_chat_template(
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chat_template_path,
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)?;
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TokenizerMetrics::record_factory_load("json");
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TokenizerMetrics::set_vocab_size("huggingface", tokenizer.vocab_size());
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Ok(Arc::new(tokenizer) as Arc<dyn traits::Tokenizer>)
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}
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#[cfg(not(feature = "huggingface"))]
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{
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TokenizerMetrics::record_factory_error("huggingface_disabled");
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Err(Error::msg(
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"HuggingFace support not enabled. Enable the 'huggingface' feature.",
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))
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@@ -79,26 +70,18 @@ pub fn create_tokenizer_with_chat_template(
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}
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Some("model") => {
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// SentencePiece model file
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TokenizerMetrics::record_factory_error("unsupported_sentencepiece");
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Err(Error::msg("SentencePiece models not yet supported"))
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}
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Some("gguf") => {
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// GGUF format
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TokenizerMetrics::record_factory_error("unsupported_gguf");
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Err(Error::msg("GGUF format not yet supported"))
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}
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_ => {
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// Try to auto-detect by reading file content
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auto_detect_tokenizer(file_path).inspect(|tokenizer| {
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TokenizerMetrics::record_factory_load("auto_detected");
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TokenizerMetrics::set_vocab_size("auto_detected", tokenizer.vocab_size());
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})
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auto_detect_tokenizer(file_path)
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}
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};
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if result.is_ok() {
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TokenizerMetrics::record_factory_load_duration(start_time.elapsed());
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}
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result
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}
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@@ -190,8 +173,6 @@ pub fn create_tokenizer(model_name_or_path: &str) -> Result<Arc<dyn traits::Toke
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{
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use super::tiktoken::TiktokenTokenizer;
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let tokenizer = TiktokenTokenizer::from_model_name(model_name_or_path)?;
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TokenizerMetrics::record_factory_load("tiktoken");
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TokenizerMetrics::set_vocab_size("tiktoken", tokenizer.vocab_size());
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return Ok(Arc::new(tokenizer));
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}
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}
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@@ -286,7 +267,7 @@ mod tests {
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// Test encoding and decoding
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let text = "Hello, world!";
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let encoding = tokenizer.encode(text).unwrap();
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let decoded = tokenizer.decode(&encoding.token_ids(), false).unwrap();
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let decoded = tokenizer.decode(encoding.token_ids(), false).unwrap();
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assert_eq!(decoded, text);
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}
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}
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@@ -1,10 +1,8 @@
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use super::traits::{
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Decoder, Encoder, Encoding, SpecialTokens, TokenIdType, Tokenizer as TokenizerTrait,
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};
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use crate::metrics::TokenizerMetrics;
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use anyhow::{Error, Result};
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use std::collections::HashMap;
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use std::time::Instant;
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use tokenizers::tokenizer::Tokenizer as HfTokenizer;
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#[cfg(feature = "minijinja")]
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@@ -196,36 +194,17 @@ impl HuggingFaceTokenizer {
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impl Encoder for HuggingFaceTokenizer {
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fn encode(&self, input: &str) -> Result<Encoding> {
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let start = Instant::now();
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TokenizerMetrics::record_encode_request("huggingface");
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TokenizerMetrics::record_chars_per_encode(input.len());
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self.tokenizer
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.encode(input, false)
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.map_err(|e| {
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TokenizerMetrics::record_encode_error("encoding_failed");
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Error::msg(format!("Encoding failed: {}", e))
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})
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.map(|encoding| {
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TokenizerMetrics::record_tokens_per_encode(encoding.get_ids().len());
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TokenizerMetrics::record_encode_duration(start.elapsed());
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Encoding::Hf(Box::new(encoding))
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})
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.map_err(|e| Error::msg(format!("Encoding failed: {}", e)))
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.map(|encoding| Encoding::Hf(Box::new(encoding)))
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}
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fn encode_batch(&self, inputs: &[&str]) -> Result<Vec<Encoding>> {
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let start = Instant::now();
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let encodings = self
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.tokenizer
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.encode_batch(inputs.to_vec(), false)
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.map_err(|e| {
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TokenizerMetrics::record_encode_error("batch_encoding_failed");
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Error::msg(format!("Batch encoding failed: {}", e))
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})?;
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TokenizerMetrics::record_encode_batch_duration(start.elapsed(), inputs.len());
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.map_err(|e| Error::msg(format!("Batch encoding failed: {}", e)))?;
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Ok(encodings
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.into_iter()
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@@ -236,20 +215,9 @@ impl Encoder for HuggingFaceTokenizer {
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impl Decoder for HuggingFaceTokenizer {
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fn decode(&self, token_ids: &[TokenIdType], skip_special_tokens: bool) -> Result<String> {
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let start = Instant::now();
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TokenizerMetrics::record_decode_request("huggingface");
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TokenizerMetrics::record_tokens_per_decode(token_ids.len());
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self.tokenizer
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.decode(token_ids, skip_special_tokens)
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.map_err(|e| {
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TokenizerMetrics::record_decode_error("decoding_failed");
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Error::msg(format!("Decoding failed: {}", e))
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})
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.inspect(|_| {
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TokenizerMetrics::record_decode_duration(start.elapsed());
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})
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.map_err(|e| Error::msg(format!("Decoding failed: {}", e)))
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}
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}
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@@ -1,9 +1,7 @@
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use super::traits::{self, TokenIdType};
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use crate::metrics::TokenizerMetrics;
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use anyhow::Result;
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use std::collections::HashSet;
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use std::sync::Arc;
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use std::time::Instant;
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/// Output from the sequence decoder
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#[derive(Debug, Clone, PartialEq)]
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@@ -95,8 +93,6 @@ impl StopSequenceDecoder {
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/// Process a single token
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pub fn process_token(&mut self, token_id: TokenIdType) -> Result<SequenceDecoderOutput> {
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let start = Instant::now();
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if self.stopped {
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return Ok(SequenceDecoderOutput::Stopped);
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}
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@@ -104,22 +100,18 @@ impl StopSequenceDecoder {
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// Check for token-level stops first
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if self.config.stop_tokens.contains(&token_id) {
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self.stopped = true;
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TokenizerMetrics::record_stop_sequence_detected("token");
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// Flush any jailed text before stopping
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if !self.jail_buffer.is_empty() {
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let output = self.jail_buffer.clone();
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self.jail_buffer.clear();
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TokenizerMetrics::record_stop_detection_duration(start.elapsed());
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return Ok(SequenceDecoderOutput::StoppedWithText(output));
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}
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TokenizerMetrics::record_stop_detection_duration(start.elapsed());
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return Ok(SequenceDecoderOutput::Stopped);
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}
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if self.config.visible_stop_tokens.contains(&token_id) {
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self.stopped = true;
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TokenizerMetrics::record_stop_sequence_detected("visible_token");
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// Include jailed text plus the stop token
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let stop_text = self
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@@ -127,7 +119,6 @@ impl StopSequenceDecoder {
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.decode(&[token_id], self.skip_special_tokens)?;
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let output = format!("{}{}", self.jail_buffer, stop_text);
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self.jail_buffer.clear();
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TokenizerMetrics::record_stop_detection_duration(start.elapsed());
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return Ok(SequenceDecoderOutput::StoppedWithText(output));
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}
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@@ -172,12 +163,10 @@ impl StopSequenceDecoder {
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for stop_seq in &self.config.stop_sequences {
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if let Some(pos) = check_text.find(stop_seq) {
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self.stopped = true;
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TokenizerMetrics::record_stop_sequence_detected("string");
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// Output text before the stop sequence
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let output = check_text[..pos].to_string();
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self.jail_buffer.clear();
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TokenizerMetrics::record_stop_detection_duration(start.elapsed());
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return Ok(if output.is_empty() {
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SequenceDecoderOutput::Stopped
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} else {
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@@ -190,13 +179,11 @@ impl StopSequenceDecoder {
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for stop_seq in &self.config.visible_stop_sequences {
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if let Some(pos) = check_text.find(stop_seq) {
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self.stopped = true;
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TokenizerMetrics::record_stop_sequence_detected("visible_string");
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// Include the stop sequence in output
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let end_pos = pos + stop_seq.len();
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let output = check_text[..end_pos].to_string();
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self.jail_buffer.clear();
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TokenizerMetrics::record_stop_detection_duration(start.elapsed());
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return Ok(SequenceDecoderOutput::StoppedWithText(output));
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}
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}
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@@ -219,8 +206,6 @@ impl StopSequenceDecoder {
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}
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if partial_match_len > 0 {
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TokenizerMetrics::record_partial_match();
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// Split: output safe text, jail the potential match
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let safe_end = check_text.len() - partial_match_len;
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let safe_text = &check_text[..safe_end];
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@@ -230,8 +215,6 @@ impl StopSequenceDecoder {
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self.prefix_offset = self.read_offset;
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self.read_offset = self.token_buffer.len();
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TokenizerMetrics::record_stop_detection_duration(start.elapsed());
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if safe_text.is_empty() {
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Ok(SequenceDecoderOutput::Held)
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} else {
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@@ -245,8 +228,6 @@ impl StopSequenceDecoder {
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self.prefix_offset = self.read_offset;
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self.read_offset = self.token_buffer.len();
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TokenizerMetrics::record_stop_detection_duration(start.elapsed());
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Ok(SequenceDecoderOutput::Text(check_text))
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}
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}
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@@ -1,10 +1,8 @@
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// src/tokenizer/stream.rs
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use super::traits::{self, TokenIdType};
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use crate::metrics::TokenizerMetrics;
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use anyhow::Result;
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use std::sync::Arc;
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use std::time::Instant;
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const INITIAL_INCREMENTAL_DETOKENIZATION_OFFSET: usize = 5;
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@@ -45,12 +43,8 @@ impl DecodeStream {
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/// Step appends a token_id to the internal state and tries to produce a text chunk.
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/// Returning `None` means the given id is not enough to produce a chunk.
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pub fn step(&mut self, id: TokenIdType) -> Result<Option<String>> {
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let start = Instant::now();
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self.all_token_ids.push(id);
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TokenizerMetrics::record_stream_token();
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let prefix_text = self.tokenizer.decode(
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&self.all_token_ids[self.prefix_offset..self.read_offset],
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self.skip_special_tokens,
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@@ -67,16 +61,8 @@ impl DecodeStream {
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self.prefix_offset = self.read_offset;
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self.read_offset = self.all_token_ids.len();
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TokenizerMetrics::record_stream_step_duration(start.elapsed());
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Ok(Some(new_text))
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} else {
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if new_text.ends_with("<EFBFBD>") {
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TokenizerMetrics::record_incomplete_utf8();
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}
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TokenizerMetrics::record_stream_step_duration(start.elapsed());
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Ok(None)
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}
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}
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@@ -129,9 +129,7 @@ fn test_thread_safety() {
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thread::spawn(move || {
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let text = "Hello test".to_string();
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let encoding = tokenizer_clone.encode(&text).unwrap();
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let decoded = tokenizer_clone
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.decode(&encoding.token_ids(), false)
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.unwrap();
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let decoded = tokenizer_clone.decode(encoding.token_ids(), false).unwrap();
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assert!(decoded.contains("Hello") || decoded.contains("test"));
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i
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})
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@@ -213,7 +213,7 @@ mod tests {
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let text = "Hello, world!";
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let encoding = tokenizer.encode(text).unwrap();
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let decoded = tokenizer.decode(&encoding.token_ids(), false).unwrap();
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let decoded = tokenizer.decode(encoding.token_ids(), false).unwrap();
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assert_eq!(decoded, text);
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}
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@@ -226,7 +226,7 @@ mod tests {
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assert_eq!(encodings.len(), 3);
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for (i, encoding) in encodings.iter().enumerate() {
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let decoded = tokenizer.decode(&encoding.token_ids(), false).unwrap();
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let decoded = tokenizer.decode(encoding.token_ids(), false).unwrap();
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assert_eq!(decoded, texts[i]);
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}
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}
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@@ -36,24 +36,21 @@ pub enum Encoding {
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}
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impl Encoding {
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/// Returns a reference to token IDs when possible, owned Vec for compatibility
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pub fn token_ids(&self) -> Vec<TokenIdType> {
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match self {
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Encoding::Hf(inner) => inner.get_ids().to_vec(),
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Encoding::Sp(inner) => inner.clone(),
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Encoding::Tiktoken(inner) => inner.clone(),
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}
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}
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/// Returns a reference to token IDs where possible
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pub fn token_ids_ref(&self) -> &[TokenIdType] {
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/// Returns a reference to token IDs - zero-copy operation
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pub fn token_ids(&self) -> &[TokenIdType] {
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match self {
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Encoding::Hf(inner) => inner.get_ids(),
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Encoding::Sp(inner) => inner,
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Encoding::Tiktoken(inner) => inner, // Now works with tiktoken-rs 0.7.0!
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Encoding::Tiktoken(inner) => inner,
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}
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}
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/// Deprecated: Use token_ids() instead (kept for compatibility)
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#[deprecated(since = "0.1.0", note = "Use token_ids() instead")]
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pub fn token_ids_ref(&self) -> &[TokenIdType] {
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self.token_ids()
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}
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/// Get a hash of the token IDs for caching purposes
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pub fn get_hash(&self) -> u64 {
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let mut hasher = DefaultHasher::new();
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@@ -66,7 +66,7 @@ fn test_tokenizer_encode_decode_lifecycle() {
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let encoding = tokenizer.encode(prompt).expect("Failed to encode prompt");
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let decoded = tokenizer
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.decode(&encoding.token_ids(), false)
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.decode(encoding.token_ids(), false)
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.expect("Failed to decode token_ids");
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assert_eq!(decoded, *prompt, "Encode-decode mismatch for: {}", prompt);
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@@ -101,7 +101,7 @@ fn test_sequence_operations() {
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for token_id in encoding.token_ids() {
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let text = decoder
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.append_token(token_id)
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.append_token(*token_id)
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.expect("Failed to append token");
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output.push_str(&text);
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}
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@@ -131,7 +131,7 @@ fn test_decode_stream() {
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let mut output = String::new();
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for token_id in encoding.token_ids() {
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if let Some(text) = decoder.step(token_id).expect("Failed to decode token") {
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if let Some(text) = decoder.step(*token_id).expect("Failed to decode token") {
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output.push_str(&text);
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}
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}
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@@ -157,11 +157,11 @@ fn test_long_sequence_incremental_decode_with_prefill() {
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.encode(output_text)
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.expect("Failed to encode output");
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let mut decoder = DecodeStream::new(tokenizer.clone(), &input_encoding.token_ids(), false);
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let mut decoder = DecodeStream::new(tokenizer.clone(), input_encoding.token_ids(), false);
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let mut output = String::new();
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for token_id in output_encoding.token_ids() {
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if let Some(text) = decoder.step(token_id).expect("Failed to decode token") {
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if let Some(text) = decoder.step(*token_id).expect("Failed to decode token") {
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output.push_str(&text);
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}
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}
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@@ -199,7 +199,7 @@ fn test_stop_sequence_decoder() {
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let mut stopped = false;
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for token_id in encoding.token_ids() {
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match decoder.process_token(token_id).unwrap() {
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match decoder.process_token(*token_id).unwrap() {
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SequenceDecoderOutput::Text(text) => output.push_str(&text),
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SequenceDecoderOutput::StoppedWithText(text) => {
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output.push_str(&text);
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@@ -245,7 +245,7 @@ fn test_factory_creation() {
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let encoding = tokenizer.encode(TEST_PROMPTS[0]).expect("Failed to encode");
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let decoded = tokenizer
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.decode(&encoding.token_ids(), false)
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.decode(encoding.token_ids(), false)
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.expect("Failed to decode");
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assert_eq!(decoded, TEST_PROMPTS[0]);
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@@ -265,7 +265,7 @@ fn test_batch_encoding() {
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for (i, encoding) in encodings.iter().enumerate() {
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let decoded = tokenizer
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.decode(&encoding.token_ids(), false)
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.decode(encoding.token_ids(), false)
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.expect("Failed to decode");
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assert_eq!(decoded, TEST_PROMPTS[i]);
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}
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@@ -307,7 +307,7 @@ fn test_thread_safety() {
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.encode(prompt)
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.expect("Failed to encode in thread");
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let decoded = tokenizer_clone
|
||||
.decode(&encoding.token_ids(), false)
|
||||
.decode(encoding.token_ids(), false)
|
||||
.expect("Failed to decode in thread");
|
||||
assert_eq!(decoded, prompt);
|
||||
})
|
||||
|
||||
Reference in New Issue
Block a user