feat(router): support left truncation (#115)

closes #111
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OlivierDehaene 2023-03-09 13:10:30 +01:00 committed by GitHub
parent c0795de2f2
commit e8bfe199ba
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3 changed files with 72 additions and 43 deletions

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@ -56,12 +56,15 @@ pub(crate) struct GenerateParameters {
#[schema(exclusive_minimum = 0, exclusive_maximum = 512, default = "20")]
pub max_new_tokens: u32,
#[serde(default)]
#[schema(default = "None", example = false)]
#[schema(default = "null", example = false)]
pub return_full_text: Option<bool>,
#[serde(default)]
#[schema(inline, max_items = 4, example = json ! (["photographer"]))]
pub stop: Vec<String>,
#[serde(default)]
#[schema(default = "null", example = "null")]
pub truncate: Option<usize>,
#[serde(default)]
#[schema(default = "false", example = true)]
pub watermark: bool,
#[serde(default)]
@ -86,6 +89,7 @@ fn default_parameters() -> GenerateParameters {
max_new_tokens: default_max_new_tokens(),
return_full_text: None,
stop: Vec::new(),
truncate: None,
watermark: false,
details: false,
seed: None,

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@ -73,6 +73,7 @@ async fn health(infer: Extension<Infer>) -> Result<(), (StatusCode, Json<ErrorRe
max_new_tokens: 1,
return_full_text: None,
stop: Vec::new(),
truncate: None,
watermark: false,
details: false,
seed: None,

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@ -6,6 +6,7 @@ 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};
@ -157,6 +158,7 @@ fn validate(
do_sample,
max_new_tokens,
stop: stop_sequences,
truncate,
seed,
watermark,
..
@ -223,21 +225,45 @@ fn validate(
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
match tokenizer.encode(request.inputs.clone(), true) {
Ok(encoding) => {
let input_length = encoding.len();
let total_tokens = input_length + max_new_tokens as usize;
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 {
Err(ValidationError::InputLength(max_input_length, input_length))
} else if total_tokens > max_total_tokens {
Err(ValidationError::MaxTotalTokens(
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,
))
} else {
));
}
// Return ValidGenerateRequest
let parameters = NextTokenChooserParameters {
temperature,
@ -258,16 +284,12 @@ fn validate(
metrics::histogram!("tgi_request_max_new_tokens", max_new_tokens as f64);
Ok(ValidGenerateRequest {
inputs: request.inputs,
inputs,
input_length: input_length as u32,
parameters,
stopping_parameters,
})
}
}
Err(err) => Err(ValidationError::Tokenizer(err.to_string())),
}
}
type ValidationRequest = (
GenerateRequest,
@ -293,6 +315,8 @@ pub enum ValidationError {
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")]