preemo_text-generation-infe.../router/src/validation.rs

381 lines
11 KiB
Rust

use crate::validation::ValidationError::{BestOfSampling, BestOfSeed, EmptyInput};
/// Payload validation logic
use crate::{GenerateParameters, GenerateRequest};
use rand::rngs::ThreadRng;
use rand::Rng;
use text_generation_client::{NextTokenChooserParameters, StoppingCriteriaParameters};
use thiserror::Error;
use tokenizers::tokenizer::Tokenizer;
use tokenizers::TruncationDirection;
use tokio::sync::{mpsc, oneshot};
use tracing::{instrument, Span};
/// Validation
#[derive(Debug, Clone)]
pub struct Validation {
/// maximum value for the best_of parameter
#[allow(dead_code)]
max_best_of: usize,
/// Channel to communicate with the background validation task
sender: mpsc::UnboundedSender<ValidationRequest>,
}
impl Validation {
pub(crate) fn new(
workers: usize,
tokenizer: Tokenizer,
max_best_of: usize,
max_stop_sequences: usize,
max_input_length: usize,
max_total_tokens: usize,
) -> Self {
// Create channel
let (validation_sender, validation_receiver) = mpsc::unbounded_channel();
// Launch background validation task
tokio::spawn(validation_task(
workers,
tokenizer,
max_stop_sequences,
max_input_length,
max_total_tokens,
validation_receiver,
));
Self {
max_best_of,
sender: validation_sender,
}
}
/// Validate a payload and get the number of tokens in the input
#[instrument(skip_all)]
pub(crate) async fn validate(
&self,
request: GenerateRequest,
) -> Result<ValidGenerateRequest, ValidationError> {
// Create response channel
let (sender, receiver) = oneshot::channel();
// Send request to the background validation task
// Unwrap is safe here
self.sender
.send((request, sender, Span::current()))
.unwrap();
// Await on response channel
// Unwrap is safe here
receiver.await.unwrap()
}
/// Validate the best_of parameter
#[instrument(skip_all)]
pub(crate) fn validate_best_of(&self, best_of: usize) -> Result<usize, ValidationError> {
if self.max_best_of == 1 && best_of != 1 {
return Err(ValidationError::BestOfDisabled);
}
if best_of > self.max_best_of {
return Err(ValidationError::BestOf(self.max_best_of, best_of));
}
Ok(best_of)
}
}
/// Validation task
/// Load balance the validation requests between multiple validation workers
async fn validation_task(
workers: usize,
tokenizer: Tokenizer,
max_stop_sequences: usize,
max_input_length: usize,
max_total_tokens: usize,
mut receiver: mpsc::UnboundedReceiver<ValidationRequest>,
) {
let mut workers_senders = Vec::with_capacity(workers);
// Create workers
for _ in 0..workers {
let tokenizer_clone: Tokenizer = tokenizer.clone().into();
// Create channel to communicate with worker
let (worker_sender, worker_receiver) = mpsc::channel(workers);
workers_senders.push(worker_sender);
// Spawn worker
tokio::task::spawn_blocking(move || {
validation_worker(
tokenizer_clone,
max_stop_sequences,
max_input_length,
max_total_tokens,
worker_receiver,
)
});
}
loop {
// Load balance requests between workers
for sender in workers_senders.iter() {
if let Some(validation_request) = receiver.recv().await {
sender.send(validation_request).await.unwrap();
} else {
return;
}
}
}
}
/// Check the parameters inside the payload and get the number of tokens inside the input using
/// the tokenizer
fn validation_worker(
tokenizer: Tokenizer,
max_stop_sequences: usize,
max_input_length: usize,
max_total_tokens: usize,
mut receiver: mpsc::Receiver<ValidationRequest>,
) {
// Seed rng
let mut rng = rand::thread_rng();
// Loop over requests
while let Some((request, response_tx, parent_span)) = receiver.blocking_recv() {
parent_span.in_scope(|| {
response_tx
.send(
validate(
request,
&tokenizer,
max_stop_sequences,
max_input_length,
max_total_tokens,
&mut rng,
)
.map_err(|err| {
metrics::increment_counter!("tgi_request_failure", "err" => "validation");
tracing::error!("{err}");
err
}),
)
.unwrap_or(())
})
}
}
fn validate(
request: GenerateRequest,
tokenizer: &Tokenizer,
max_stop_sequences: usize,
max_input_length: usize,
max_total_tokens: usize,
rng: &mut ThreadRng,
) -> Result<ValidGenerateRequest, ValidationError> {
let GenerateParameters {
best_of,
temperature,
repetition_penalty,
top_k,
top_p,
typical_p,
do_sample,
max_new_tokens,
stop: stop_sequences,
truncate,
seed,
watermark,
..
} = request.parameters;
// sampling must be true when best_of > 1
let best_of = best_of.unwrap_or(1);
let sampling = do_sample
|| temperature.is_some()
|| top_k.is_some()
|| top_p.is_some()
|| typical_p.is_some();
if best_of > 1 && !sampling {
return Err(BestOfSampling);
}
let temperature = temperature.unwrap_or(1.0);
if temperature <= 0.0 {
return Err(ValidationError::Temperature);
}
let repetition_penalty = repetition_penalty.unwrap_or(1.0);
if repetition_penalty <= 0.0 {
return Err(ValidationError::RepetitionPenalty);
}
// Different because the proto default value is not a valid value
// for the user
let top_p = top_p
.map(|value| {
if value <= 0.0 || value >= 1.0 {
return Err(ValidationError::TopP);
}
Ok(value)
})
.unwrap_or(Ok(1.0))?;
let typical_p = typical_p
.map(|value| {
if value <= 0.0 || value >= 1.0 {
return Err(ValidationError::TypicalP);
}
Ok(value)
})
.unwrap_or(Ok(1.0))?;
let top_k: u32 = top_k
.map(|value| {
if value <= 0 {
return Err(ValidationError::TopK);
}
Ok(value as u32)
})
.unwrap_or(Ok(0))?;
if max_new_tokens == 0 {
return Err(ValidationError::MaxNewTokens);
}
if stop_sequences.len() > max_stop_sequences {
return Err(ValidationError::StopSequence(
max_stop_sequences,
stop_sequences.len(),
));
}
// If seed is None, assign a random one
let seed = match seed {
None => rng.gen(),
Some(seed) => {
if best_of > 1 {
return Err(BestOfSeed);
}
seed
}
};
// Check if inputs is empty
if request.inputs.is_empty() {
return Err(EmptyInput);
}
// Check if truncate is strictly positive and less than max_input_length
let truncate = truncate
.map(|value| {
if value == 0 || value > max_input_length {
return Err(ValidationError::Truncate(max_input_length, value));
}
Ok(Some(value))
})
.unwrap_or(Ok(None))?;
// Get the number of tokens in the input
let mut encoding = tokenizer
.encode(request.inputs.clone(), true)
.map_err(|err| ValidationError::Tokenizer(err.to_string()))?;
let (inputs, input_length) = if let Some(truncate) = truncate {
// truncate encoding and decode new inputs
encoding.truncate(truncate, 0, TruncationDirection::Left);
let inputs = tokenizer
.decode(Vec::from(encoding.get_ids()), false)
.map_err(|err| ValidationError::Tokenizer(err.to_string()))?;
(inputs, encoding.len())
} else {
(request.inputs, encoding.len())
};
if input_length > max_input_length {
return Err(ValidationError::InputLength(max_input_length, input_length));
}
let total_tokens = input_length + max_new_tokens as usize;
if total_tokens > max_total_tokens {
return Err(ValidationError::MaxTotalTokens(
max_total_tokens,
input_length,
max_new_tokens,
));
}
// Return ValidGenerateRequest
let parameters = NextTokenChooserParameters {
temperature,
repetition_penalty,
top_k,
top_p,
typical_p,
do_sample,
seed,
watermark,
};
let stopping_parameters = StoppingCriteriaParameters {
max_new_tokens,
stop_sequences,
ignore_eos_token: false,
};
metrics::histogram!("tgi_request_input_length", input_length as f64);
metrics::histogram!("tgi_request_max_new_tokens", max_new_tokens as f64);
Ok(ValidGenerateRequest {
inputs,
parameters,
stopping_parameters,
})
}
type ValidationRequest = (
GenerateRequest,
oneshot::Sender<Result<ValidGenerateRequest, ValidationError>>,
Span,
);
#[derive(Debug)]
pub(crate) struct ValidGenerateRequest {
pub inputs: String,
pub parameters: NextTokenChooserParameters,
pub stopping_parameters: StoppingCriteriaParameters,
}
#[derive(Error, Debug)]
pub enum ValidationError {
#[error("`best_of` must be > 0 and <= {0}. Given: {1}")]
BestOf(usize, usize),
#[error("`best_of` != 1 is not allowed for this endpoint")]
BestOfDisabled,
#[error("you must use sampling when `best_of` is > 1")]
BestOfSampling,
#[error("`seed` must not be set when `best_of` > 1")]
BestOfSeed,
#[error("`best_of` != 1 is not supported when streaming tokens")]
BestOfStream,
#[error("`temperature` must be strictly positive")]
Temperature,
#[error("`repetition_penalty` must be strictly positive")]
RepetitionPenalty,
#[error("`top_p` must be > 0.0 and < 1.0")]
TopP,
#[error("`top_k` must be strictly positive")]
TopK,
#[error("`truncate` must be strictly positive and less than {0}. Given: {1}")]
Truncate(usize, usize),
#[error("`typical_p` must be > 0.0 and < 1.0")]
TypicalP,
#[error("`max_new_tokens` must be strictly positive")]
MaxNewTokens,
#[error("`inputs` tokens + `max_new_tokens` must be <= {0}. Given: {1} `inputs` tokens and {2} `max_new_tokens`")]
MaxTotalTokens(usize, usize, u32),
#[error("`inputs` must have less than {0} tokens. Given: {1}")]
InputLength(usize, usize),
#[error("`inputs` cannot be empty")]
EmptyInput,
#[error("`stop` supports up to {0} stop sequences. Given: {1}")]
StopSequence(usize, usize),
#[error("tokenizer error {0}")]
Tokenizer(String),
}