2022-10-11 08:36:51 +00:00
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use crate::Db;
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use bloom_inference_client::{
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Batch, BatchCached, CacheEntry, ClientError, FinishedGeneration, ShardedClient,
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};
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2022-10-08 10:30:12 +00:00
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use std::sync::Arc;
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2022-10-11 08:36:51 +00:00
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use tokio::sync::{Notify, oneshot};
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use crate::server::GenerateRequest;
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2022-10-08 10:30:12 +00:00
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const MAX_LENGTH: usize = 128;
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pub struct InferError {}
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#[derive(Clone)]
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2022-10-11 08:36:51 +00:00
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pub(crate) struct Batcher {
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2022-10-08 10:30:12 +00:00
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db: Db,
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shared: Arc<Shared>,
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}
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struct Shared {
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batching_task: Notify,
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}
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2022-10-11 08:36:51 +00:00
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impl Batcher {
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2022-10-08 10:30:12 +00:00
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pub(crate) fn new(client: ShardedClient) -> Self {
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let db = Db::new();
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let shared = Arc::new(Shared {
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batching_task: Notify::new(),
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});
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tokio::spawn(batching_task(client, db.clone(), shared.clone()));
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Self { db, shared }
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}
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pub(crate) async fn infer(&self, request: GenerateRequest) -> Result<String, InferError> {
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if self.db.len() > MAX_LENGTH {
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return Err(InferError {});
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}
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let (request_tx, request_rx) = oneshot::channel();
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self.db.append(request, request_tx);
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self.shared.batching_task.notify_waiters();
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match request_rx.await.unwrap() {
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Ok(output) => Ok(output),
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2022-10-11 08:36:51 +00:00
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Err(_) => Err(InferError {}),
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2022-10-08 10:30:12 +00:00
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}
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}
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}
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async fn batching_task(client: ShardedClient, db: Db, shared: Arc<Shared>) {
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loop {
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shared.batching_task.notified().await;
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if let Some(batch) = db.next_batch(32) {
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let mut cache_entry = infer_batch(batch, &client, &db).await;
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loop {
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if let Some(entry) = cache_entry {
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let mut batch_cached_ids = vec![entry.id];
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let mut total_batch_size = entry.request_ids.len();
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let mut max_sequence_length = entry.sequence_length;
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let mut request_ids = entry.request_ids;
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2022-10-11 08:36:51 +00:00
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// if total_batch_size <= 16 {
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// if let Some(batch) = db.next_batch_minimum_size(16, 48) {
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// let other_cache_entry = infer_batch(batch, &client, &db).await;
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//
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// if let Some(entry) = other_cache_entry {
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// batch_cached_ids.push(entry.id);
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// total_batch_size += entry.request_ids.len();
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// max_sequence_length =
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// max_sequence_length.max(entry.sequence_length);
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// request_ids.extend(entry.request_ids.into_iter());
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// }
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// }
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// }
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2022-10-08 10:30:12 +00:00
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let batch_cached = BatchCached {
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id: entry.id,
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batch_cached_ids,
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total_batch_size: total_batch_size as u32,
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max_sequence_length,
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request_ids,
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};
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cache_entry = infer_batch_cached(batch_cached, &client, &db).await;
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} else {
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break;
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}
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}
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}
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}
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}
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2022-10-11 08:36:51 +00:00
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async fn infer_batch_cached(
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batch: BatchCached,
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client: &ShardedClient,
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db: &Db,
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) -> Option<CacheEntry> {
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2022-10-08 10:30:12 +00:00
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match client.generate_with_cache(batch.clone()).await {
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Ok((finished, cache_entry)) => {
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send_finished(finished, db);
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cache_entry
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}
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Err(err) => {
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println!("{:?}", err);
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send_error(err, batch.request_ids, &db);
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None
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}
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}
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}
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async fn infer_batch(batch: Batch, client: &ShardedClient, db: &Db) -> Option<CacheEntry> {
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match client.generate(batch.clone()).await {
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Ok((finished, cache_entry)) => {
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send_finished(finished, db);
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cache_entry
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}
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Err(err) => {
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println!("{:?}", err);
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2022-10-11 08:36:51 +00:00
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send_error(
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err,
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batch.requests.into_iter().map(|req| req.id).collect(),
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&db,
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);
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2022-10-08 10:30:12 +00:00
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None
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}
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}
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}
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fn send_error(error: ClientError, request_ids: Vec<u64>, db: &Db) {
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request_ids.into_iter().for_each(|id| {
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let (_, response_tx) = db.remove(&id).unwrap();
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response_tx.send(Err(error.clone())).unwrap_or(());
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});
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}
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fn send_finished(finished: Vec<FinishedGeneration>, db: &Db) {
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finished.into_iter().for_each(|output| {
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let (_, response_tx) = db.remove(&output.id).unwrap();
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response_tx.send(Ok(output.output)).unwrap_or(());
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});
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}
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