Upgrade resolution system for less errors in resolution.

This commit is contained in:
Nicolas Patry 2024-08-23 15:27:53 +02:00
parent 5eb6ea0063
commit 32f6416358
No known key found for this signature in database
GPG Key ID: 64AF4752B2967863
4 changed files with 99 additions and 94 deletions

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@ -33,11 +33,13 @@ impl RadixAllocator {
window_size: Option<u32>, window_size: Option<u32>,
prefix_caching: bool, prefix_caching: bool,
) -> Self { ) -> Self {
if prefix_caching {
assert_eq!( assert_eq!(
block_size, 1, block_size, 1,
"Radix tree allocator only works with block_size=1, was: {}", "Radix tree allocator only works with block_size=1, was: {}",
block_size block_size
); );
}
// if window_size.is_some() { // if window_size.is_some() {
// unimplemented!("Window size not supported in the prefix-caching block allocator yet"); // unimplemented!("Window size not supported in the prefix-caching block allocator yet");
// } // }

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@ -835,11 +835,11 @@
] ]
}, },
"locked": { "locked": {
"lastModified": 1724206841, "lastModified": 1724379657,
"narHash": "sha256-L8dKaX4T3k+TR2fEHCfGbH4UXdspovz/pj87iai9qmc=", "narHash": "sha256-+CFDh1FUgyY7q0FiWhKJpHS7LlD3KbiqN5Z4Z+4bGmc=",
"owner": "oxalica", "owner": "oxalica",
"repo": "rust-overlay", "repo": "rust-overlay",
"rev": "45e98fbd62c32e5927e952d2833fa1ba4fb35a61", "rev": "a18034322c7703fcfe5d7352a77981ba4a936a61",
"type": "github" "type": "github"
}, },
"original": { "original": {
@ -944,11 +944,11 @@
"nixpkgs": "nixpkgs_6" "nixpkgs": "nixpkgs_6"
}, },
"locked": { "locked": {
"lastModified": 1724218652, "lastModified": 1724270760,
"narHash": "sha256-Y7Kt+AZRIdo7tr/VhKGzdwYf7stiYQ4JD7flusEpXQw=", "narHash": "sha256-KX566x0+3HZcB20HPdvdwyMm7ZJg21M+iqVrs/HCimA=",
"owner": "danieldk", "owner": "danieldk",
"repo": "tgi-nix", "repo": "tgi-nix",
"rev": "ab2761aa7b970e737492b8cc41ca580dcb094808", "rev": "12cbaa76ff258351741d3b5afb7161f617fe7b4c",
"type": "github" "type": "github"
}, },
"original": { "original": {

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@ -56,6 +56,7 @@
in in
{ {
devShells = with pkgs; rec { devShells = with pkgs; rec {
default = pure; default = pure;
pure = mkShell { pure = mkShell {

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@ -24,9 +24,10 @@ use tracing_subscriber::{filter::LevelFilter, EnvFilter};
mod env_runtime; mod env_runtime;
fn resolve_attention(config: &Config, lora_adapters: &Option<String>) -> (String, String) { fn resolve_attention(config: &Option<Config>, lora_adapters: &Option<String>) -> (String, String) {
let mut prefix_caching: Option<String> = std::env::var("USE_PREFIX_CACHING").ok(); let mut prefix_caching: Option<String> = std::env::var("USE_PREFIX_CACHING").ok();
let mut attention: Option<String> = std::env::var("ATTENTION").ok(); let mut attention: Option<String> = std::env::var("ATTENTION").ok();
if let Some(config) = config {
match config.head_dim { match config.head_dim {
Some(h) if h == 64 || h == 128 || h == 256 => { Some(h) if h == 64 || h == 128 || h == 256 => {
if lora_adapters.is_some() && prefix_caching.is_none() { if lora_adapters.is_some() && prefix_caching.is_none() {
@ -57,6 +58,7 @@ fn resolve_attention(config: &Config, lora_adapters: &Option<String>) -> (String
} }
} }
} }
}
let prefix_caching = prefix_caching.unwrap_or("true".to_string()); let prefix_caching = prefix_caching.unwrap_or("true".to_string());
let attention = attention.unwrap_or("flashinfer".to_string()); let attention = attention.unwrap_or("flashinfer".to_string());
(prefix_caching, attention) (prefix_caching, attention)
@ -1502,8 +1504,7 @@ fn main() -> Result<(), LauncherError> {
tracing::info!("{:#?}", args); tracing::info!("{:#?}", args);
let get_max_positions_quantize = let get_config = || -> Result<Config, Box<dyn std::error::Error>> {
|| -> Result<(usize, Option<Quantization>), Box<dyn std::error::Error>> {
let model_id = args.model_id.clone(); let model_id = args.model_id.clone();
let mut path = std::path::Path::new(&args.model_id).to_path_buf(); let mut path = std::path::Path::new(&args.model_id).to_path_buf();
let filename = if !path.exists() { let filename = if !path.exists() {
@ -1534,15 +1535,14 @@ fn main() -> Result<(), LauncherError> {
let config: RawConfig = serde_json::from_str(&content)?; let config: RawConfig = serde_json::from_str(&content)?;
let config: Config = config.into(); let config: Config = config.into();
let (prefix_caching, attention) = resolve_attention(&config, &args.lora_adapters); Ok(config)
tracing::info!("Using attention {attention} - Prefix caching {prefix_caching}"); };
std::env::set_var("USE_PREFIX_CACHING", prefix_caching); let config: Option<Config> = get_config().ok();
std::env::set_var("ATTENTION", attention); let quantize = config.as_ref().and_then(|c| c.quantize);
let quantize = config.quantize;
// Quantization usually means you're even more RAM constrained. // Quantization usually means you're even more RAM constrained.
let max_default = 4096; let max_default = 4096;
let max_position_embeddings = if let Some(config) = &config {
if let Some(max_position_embeddings) = config.max_position_embeddings { if let Some(max_position_embeddings) = config.max_position_embeddings {
if max_position_embeddings > max_default { if max_position_embeddings > max_default {
let max = max_position_embeddings; let max = max_position_embeddings;
@ -1552,18 +1552,20 @@ fn main() -> Result<(), LauncherError> {
{ {
tracing::info!("Model supports up to {max} but tgi will now set its default to {max_default} instead. This is to save VRAM by refusing large prompts in order to allow more users on the same hardware. You can increase that size using `--max-batch-prefill-tokens={} --max-total-tokens={max} --max-input-tokens={}`.", max + 50, max - 1); tracing::info!("Model supports up to {max} but tgi will now set its default to {max_default} instead. This is to save VRAM by refusing large prompts in order to allow more users on the same hardware. You can increase that size using `--max-batch-prefill-tokens={} --max-total-tokens={max} --max-input-tokens={}`.", max + 50, max - 1);
} }
Ok((max_default, quantize)) max_default
} else { } else {
Ok((max_position_embeddings, quantize)) max_position_embeddings
} }
} else { } else {
Err(Box::new(LauncherError::ArgumentValidation( max_default
"no max defined".to_string(),
)))
} }
} else {
max_default
}; };
let (max_position_embeddings, quantize): (usize, Option<Quantization>) = let (prefix_caching, attention) = resolve_attention(&config, &args.lora_adapters);
get_max_positions_quantize().unwrap_or((4096, None)); tracing::info!("Using attention {attention} - Prefix caching {prefix_caching}");
std::env::set_var("USE_PREFIX_CACHING", prefix_caching);
std::env::set_var("ATTENTION", attention);
let max_input_tokens = { let max_input_tokens = {
match (args.max_input_tokens, args.max_input_length) { match (args.max_input_tokens, args.max_input_length) {