feat(backend): bind incoming request to the server

backends/llamacpp/src/backend.rs

@@ -2,18 +2,54 @@ use crate::ffi::{
     create_single_worker_backend, GenerationParams, LlamaCppBackendImpl, SamplingParams,
 };
 use async_trait::async_trait;
-use cxx::{Exception, UniquePtr};
+use cxx::UniquePtr;
 use std::path::{Path, PathBuf};
+use std::sync::mpsc::{channel, Receiver, SendError, Sender};
 use std::sync::Arc;
-use std::thread::spawn;
+use std::thread::{spawn, JoinHandle};
 use text_generation_router::infer::{Backend, InferError, InferStreamResponse};
-use text_generation_router::validation::ValidGenerateRequest;
+use text_generation_router::validation::{
+    ValidGenerateRequest, ValidParameters, ValidStoppingParameters,
+};
+use text_generation_router::Token;
 use thiserror::Error;
+use tokio::sync::mpsc::{unbounded_channel, UnboundedSender};
+use tokio::sync::TryAcquireError;
 use tokio_stream::wrappers::UnboundedReceiverStream;
-use tracing::info;
+use tracing::{error, info};
 
 unsafe impl Send for LlamaCppBackendImpl {}
 
+impl From<&ValidParameters> for SamplingParams {
+    fn from(v: &ValidParameters) -> Self {
+        Self {
+            top_k: v.top_k,
+            top_p: v.top_p,
+            frequency_penalty: v.frequency_penalty,
+            repetition_penalty: v.repetition_penalty,
+            seed: v.seed,
+        }
+    }
+}
+
+impl From<&ValidStoppingParameters> for GenerationParams {
+    fn from(v: &ValidStoppingParameters) -> Self {
+        Self {
+            max_new_tokens: v.max_new_tokens,
+            ignore_eos_token: v.ignore_eos_token,
+        }
+    }
+}
+
+#[cfg_attr(debug_assertions, derive(Debug))]
+struct InferContext {
+    pub(crate) stream: UnboundedSender<Result<InferStreamResponse, InferError>>,
+    pub(crate) input_tokens: Arc<Vec<u32>>,
+    pub(crate) generated_tokens: Vec<u32>,
+    pub(crate) generation_params: GenerationParams,
+    pub(crate) sampling_params: SamplingParams,
+}
+
 #[derive(Debug, Error)]
 pub enum LlamaCppBackendError {
     #[error("Provided GGUF model path {0} doesn't exist")]
@@ -23,7 +59,10 @@ pub enum LlamaCppBackendError {
     ModelInitializationFailed(PathBuf, String),
 }
 
-pub struct LlamaCppBackend {}
+pub struct LlamaCppBackend {
+    backlog: Sender<InferContext>,
+    scheduler_handle: JoinHandle<()>,
+}
 
 impl LlamaCppBackend {
     pub fn new<P: AsRef<Path> + Send>(model_path: P) -> Result<Self, LlamaCppBackendError> {
@@ -34,7 +73,7 @@ impl LlamaCppBackend {
             ));
         }
 
-        let mut backend = create_single_worker_backend(path.to_str().unwrap()).map_err(|err| {
+        let backend = create_single_worker_backend(path.to_str().unwrap()).map_err(|err| {
             LlamaCppBackendError::ModelInitializationFailed(
                 path.to_path_buf(),
                 err.what().to_string(),
@@ -46,43 +85,100 @@ impl LlamaCppBackend {
             path.display()
         );
 
-        let j = spawn(|| scheduler_loop(backend));
-        j.join().ok();
-        Ok(Self {})
+        let (submitter, receiver) = channel();
+        let handle = spawn(|| scheduler_loop(backend, receiver));
+        Ok(Self {
+            backlog: submitter,
+            scheduler_handle: handle,
+        })
     }
 }
 
-fn scheduler_loop(mut backend: UniquePtr<LlamaCppBackendImpl>) {
-    println!("Scheduler loop");
-    let tokens = [128000u32, 5159, 836, 374, 23809];
-    let mut generated = vec![0u32; 16];
-    let generation_params = GenerationParams {
-        max_new_tokens: generated.len() as u32,
-    };
-    let sampling_params = SamplingParams::default();
-
+fn scheduler_loop(
+    mut backend: UniquePtr<LlamaCppBackendImpl>,
+    mut backlog: Receiver<InferContext>,
+) {
+    loop {
+        println!("Looping");
+        if let Ok(mut ctx) = backlog.recv() {
+            println!("{ctx:?}, {}", &ctx.generated_tokens.capacity());
             match backend.pin_mut().generate(
-        &tokens,
-        &mut generated,
-        &generation_params,
-        &sampling_params,
-        |new_token_id: u32, is_eos: bool| println!("Generated {new_token_id} (is_eos: {is_eos})"),
+                &ctx.input_tokens,
+                &mut ctx.generated_tokens,
+                &ctx.generation_params,
+                &ctx.sampling_params,
+                |new_token_id: u32, new_token_logit: f32, is_eos: bool| {
+                    let response = InferStreamResponse::Intermediate {
+                        token: Token {
+                            id: new_token_id,
+                            text: "".to_string(),
+                            logprob: new_token_logit,
+                            special: false,
+                        },
+                        top_tokens: vec![],
+                    };
+                    println!("Generated token: {response:?}");
+                    // let _ = tokio::spawn(async {
+                    //     match ctx.stream.send(Ok(response)) {
+                    //         Ok(_) => {}
+                    //         Err(ref err) => {
+                    //             error!(
+                    //                 "Failed to send back token to the client: {}",
+                    //                 err.to_string()
+                    //             );
+                    //         }
+                    //     }
+                    // });
+                },
             ) {
                 Ok(n_tokens) => {
-            generated.truncate(n_tokens);
-            println!("Generated {} tokens -> {:?}", n_tokens, generated);
+                    unsafe {
+                        ctx.generated_tokens.set_len(n_tokens);
+                    }
+                    println!(
+                        "Generated {} tokens -> {:?}",
+                        n_tokens, &ctx.generated_tokens
+                    );
                 }
                 Err(err) => println!("Error: {}", err),
             }
+        } else {
+            info!("IPC channel is closed, exiting the scheduler loop");
+            break;
+        }
+    }
 }
 
 #[async_trait]
 impl Backend for LlamaCppBackend {
     fn schedule(
         &self,
-        _request: ValidGenerateRequest,
+        request: ValidGenerateRequest,
     ) -> Result<UnboundedReceiverStream<Result<InferStreamResponse, InferError>>, InferError> {
-        Err(InferError::GenerationError("Not implemented yet".into()))
+        if let Some(input_ids) = request.input_ids {
+            let (sx, rx) = unbounded_channel();
+            let sampling_params = SamplingParams::from(&request.parameters);
+            let generation_params = GenerationParams::from(&request.stopping_parameters);
+
+            let ctx = InferContext {
+                stream: sx,
+                input_tokens: Arc::clone(&input_ids),
+                generated_tokens: Vec::with_capacity(generation_params.max_new_tokens as usize),
+                generation_params,
+                sampling_params,
+            };
+
+            match self.backlog.send(ctx) {
+                Ok(_) => Ok(UnboundedReceiverStream::new(rx)),
+                Err(_) => Err(InferError::GenerationError(
+                    "Failed to sent the request".to_string(),
+                )),
+            }
+        } else {
+            Err(InferError::GenerationError(
+                "Unsupported modalities".to_string(),
+            ))
+        }
     }
 
     async fn health(&self, _: bool) -> bool {

backends/llamacpp/src/lib.rs

@@ -16,11 +16,13 @@ impl Default for SamplingParams {
 
 #[cxx::bridge(namespace = "huggingface::tgi::backends::llamacpp")]
 mod ffi {
+    #[derive(Debug, Copy, Clone)]
     struct GenerationParams {
         max_new_tokens: u32,
         ignore_eos_token: bool,
     }
 
+    #[derive(Debug, Copy, Clone)]
     struct SamplingParams {
         top_k: u32,
         top_p: f32,