v0.9.0 (#525)

Cargo.toml

@@ -8,7 +8,7 @@ members = [
 ]
 
 [workspace.package]
-version = "0.8.2"
+version = "0.9.0"
 edition = "2021"
 authors = ["Olivier Dehaene"]
 homepage = "https://github.com/huggingface/text-generation-inference"

Dockerfile

@@ -1,5 +1,5 @@
 # Rust builder
-FROM lukemathwalker/cargo-chef:latest-rust-1.69 AS chef
+FROM lukemathwalker/cargo-chef:latest-rust-1.70 AS chef
 WORKDIR /usr/src
 
 ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse

README.md

@@ -84,7 +84,7 @@ model=bigscience/bloom-560m
 num_shard=2
 volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
 
-docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:0.8 --model-id $model --num-shard $num_shard
+docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:0.9 --model-id $model --num-shard $num_shard
 ```
 **Note:** To use GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). We also recommend using NVIDIA drivers with CUDA version 11.8 or higher.
 

aml/README.md

@@ -1,15 +0,0 @@
-# Azure ML endpoint
-
-## Create all resources
-
-```shell
-az ml model create -f model.yaml -g HuggingFace-BLOOM-ModelPage -w HuggingFace
-az ml online-endpoint create -f endpoint.yaml -g HuggingFace-BLOOM-ModelPage -w HuggingFace
-az ml online-deployment create -f deployment.yaml -g HuggingFace-BLOOM-ModelPage -w HuggingFace
-```
-
-## Update deployment
-
-```shell
-az ml online-deployment update -f deployment.yaml -g HuggingFace-BLOOM-ModelPage -w HuggingFace
-```

aml/deployment.yaml

@@ -1,38 +0,0 @@
-$schema: https://azuremlschemas.azureedge.net/latest/managedOnlineDeployment.schema.json
-name: bloom-deployment
-endpoint_name: bloom-inference
-model: azureml:bloom-safetensors:1
-model_mount_path: /var/azureml-model
-environment_variables:
-  WEIGHTS_CACHE_OVERRIDE: /var/azureml-model/bloom-safetensors
-  MODEL_ID: bigscience/bloom
-  NUM_SHARD: 8
-environment:
-  image: db4c2190dd824d1f950f5d1555fbadf0.azurecr.io/text-generation-inference:0.2.0
-  inference_config:
-    liveness_route:
-      port: 80
-      path: /health
-    readiness_route:
-      port: 80
-      path: /health
-    scoring_route:
-      port: 80
-      path: /generate
-instance_type: Standard_ND96amsr_A100_v4
-request_settings:
-  request_timeout_ms: 90000
-  max_concurrent_requests_per_instance: 256
-liveness_probe:
-  initial_delay: 600
-  timeout: 90
-  period: 120
-  success_threshold: 1
-  failure_threshold: 5
-readiness_probe:
-  initial_delay: 600
-  timeout: 90
-  period: 120
-  success_threshold: 1
-  failure_threshold: 5
-instance_count: 1

aml/endpoint.yaml

@@ -1,3 +0,0 @@
-$schema: https://azuremlsdk2.blob.core.windows.net/latest/managedOnlineEndpoint.schema.json
-name: bloom-inference
-auth_mode: key

aml/model.yaml

@@ -1,3 +0,0 @@
-$schema: https://azuremlschemas.azureedge.net/latest/model.schema.json
-name: bloom-safetensors
-path: /data/bloom-safetensors

docs/openapi.json

@@ -10,7 +10,7 @@
       "name": "Apache 2.0",
       "url": "https://www.apache.org/licenses/LICENSE-2.0"
     },
-    "version": "0.8.2"
+    "version": "0.9.0"
   },
   "paths": {
     "/": {
@@ -270,6 +270,35 @@
         }
       }
     },
+    "/health": {
+      "get": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Health check method",
+        "description": "Health check method",
+        "operationId": "health",
+        "responses": {
+          "200": {
+            "description": "Everything is working fine"
+          },
+          "503": {
+            "description": "Text generation inference is down",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "unhealthy",
+                  "error_type": "healthcheck"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
     "/info": {
       "get": {
         "tags": [

launcher/src/main.rs

@@ -1040,14 +1040,18 @@ fn main() -> Result<(), LauncherError> {
         return Ok(());
     }
 
-    let mut webserver = spawn_webserver(args, shutdown.clone(), &shutdown_receiver)?;
+    let mut webserver =
+        spawn_webserver(args, shutdown.clone(), &shutdown_receiver).map_err(|err| {
+            shutdown_shards(shutdown.clone(), &shutdown_receiver);
+            err
+        })?;
 
     // Default exit code
     let mut exit_code = Ok(());
 
     while running.load(Ordering::SeqCst) {
         if let Ok(ShardStatus::Failed((rank, err))) = status_receiver.try_recv() {
-            tracing::error!("Shard {rank} failed to start");
+            tracing::error!("Shard {rank} crashed");
             if let Some(err) = err {
                 tracing::error!("{err}");
             }

router/Cargo.toml

@@ -22,11 +22,11 @@ text-generation-client = { path = "client" }
 clap = { version = "4.1.4", features = ["derive", "env"] }
 flume = "0.10.14"
 futures = "0.3.26"
-metrics = "0.20.1"
-metrics-exporter-prometheus = { version = "0.11.0", features = [] }
+metrics = "0.21.0"
+metrics-exporter-prometheus = { version = "0.12.1", features = [] }
 nohash-hasher = "0.2.0"
-opentelemetry = { version = "0.18.0", features = ["rt-tokio"] }
-opentelemetry-otlp = "0.11.0"
+opentelemetry = { version = "0.19.0", features = ["rt-tokio"] }
+opentelemetry-otlp = "0.12.0"
 rand = "0.8.5"
 reqwest = { version = "0.11.14", features = [] }
 serde = "1.0.152"
@@ -36,7 +36,7 @@ tokenizers = "0.13.3"
 tokio = { version = "1.25.0", features = ["rt", "rt-multi-thread", "parking_lot", "signal", "sync"] }
 tower-http = { version = "0.4.0", features = ["cors"] }
 tracing = "0.1.37"
-tracing-opentelemetry = "0.18.0"
+tracing-opentelemetry = "0.19.0"
 tracing-subscriber = { version = "0.3.16", features = ["json", "env-filter"] }
 utoipa = { version = "3.0.1", features = ["axum_extras"] }
 utoipa-swagger-ui = { version = "3.0.2", features = ["axum"] }

router/client/Cargo.toml

@@ -11,10 +11,10 @@ grpc-metadata = { path = "../grpc-metadata" }
 prost = "^0.11"
 thiserror = "^1.0"
 tokio = { version = "^1.25", features = ["sync"] }
-tonic = "^0.8"
+tonic = "^0.9"
 tower = "^0.4"
 tracing = "^0.1"
 
 [build-dependencies]
-tonic-build = "0.8.4"
+tonic-build = "0.9.2"
 prost-build = "0.11.6"

router/grpc-metadata/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 edition = "2021"
 
 [dependencies]
-opentelemetry = "0.18.0"
-tonic = "^0.8"
+opentelemetry = "^0.19"
+tonic = "^0.9"
 tracing = "^0.1"
-tracing-opentelemetry = "0.18.0"
+tracing-opentelemetry = "^0.19"

router/src/server.rs

@@ -532,6 +532,7 @@ pub async fn run(
     #[derive(OpenApi)]
     #[openapi(
         paths(
+            health,
             get_model_info,
             compat_generate,
             generate,

rust-toolchain.toml

@@ -1,3 +1,3 @@
 [toolchain]
-channel = "1.69.0"
+channel = "1.70.0"
 components = ["rustfmt", "clippy"]

server/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "text-generation-server"
-version = "0.8.2"
+version = "0.9.0"
 description = "Text Generation Inference Python gRPC Server"
 authors = ["Olivier Dehaene <olivier@huggingface.co>"]