feat(onnx): add onnx runtime for better CPU perf (huggingface#328)

Cargo.toml

@@ -2,6 +2,7 @@
 members = [
     "backends",
     "backends/candle",
+    "backends/ort",
     "backends/core",
     "backends/python",
     "backends/grpc-client",

Dockerfile

@@ -28,22 +28,9 @@ ARG ACTIONS_CACHE_URL
 ARG ACTIONS_RUNTIME_TOKEN
 ARG SCCACHE_GHA_ENABLED
 
-RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
-| gpg --dearmor | tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null && \
-  echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | \
-  tee /etc/apt/sources.list.d/oneAPI.list
-
-RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
-    intel-oneapi-mkl-devel=2024.0.0-49656 \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN echo "int mkl_serv_intel_cpu_true() {return 1;}" > fakeintel.c && \
-    gcc -shared -fPIC -o libfakeintel.so fakeintel.c
-
 COPY --from=planner /usr/src/recipe.json recipe.json
 
-RUN cargo chef cook --release --features candle --features mkl-dynamic --no-default-features --recipe-path recipe.json && sccache -s
+RUN cargo chef cook --release --features ort --no-default-features --recipe-path recipe.json && sccache -s
 
 COPY backends backends
 COPY core core
@@ -53,7 +40,7 @@ COPY Cargo.lock ./
 
 FROM builder as http-builder
 
-RUN cargo build --release --bin text-embeddings-router -F candle -F mkl-dynamic -F http --no-default-features && sccache -s
+RUN cargo build --release --bin text-embeddings-router -F ort -F http --no-default-features && sccache -s
 
 FROM builder as grpc-builder
 
@@ -65,35 +52,18 @@ RUN PROTOC_ZIP=protoc-21.12-linux-x86_64.zip && \
 
 COPY proto proto
 
-RUN cargo build --release --bin text-embeddings-router -F grpc -F candle -F mkl-dynamic --no-default-features && sccache -s
+RUN cargo build --release --bin text-embeddings-router -F grpc -F ort --no-default-features && sccache -s
 
 FROM debian:bookworm-slim as base
 
 ENV HUGGINGFACE_HUB_CACHE=/data \
-    PORT=80 \
-    MKL_ENABLE_INSTRUCTIONS=AVX512_E4 \
-    RAYON_NUM_THREADS=8 \
-    LD_PRELOAD=/usr/local/libfakeintel.so \
-    LD_LIBRARY_PATH=/usr/local/lib
+    PORT=80
 
 RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
-    libomp-dev \
     ca-certificates \
     libssl-dev \
-    curl \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy a lot of the Intel shared objects because of the mkl_serv_intel_cpu_true patch...
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_intel_lp64.so.2 /usr/local/lib/libmkl_intel_lp64.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_intel_thread.so.2 /usr/local/lib/libmkl_intel_thread.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_core.so.2 /usr/local/lib/libmkl_core.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_vml_def.so.2 /usr/local/lib/libmkl_vml_def.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_def.so.2 /usr/local/lib/libmkl_def.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_vml_avx2.so.2 /usr/local/lib/libmkl_vml_avx2.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_vml_avx512.so.2 /usr/local/lib/libmkl_vml_avx512.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_avx2.so.2 /usr/local/lib/libmkl_avx2.so.2
-COPY --from=builder /opt/intel/oneapi/mkl/latest/lib/intel64/libmkl_avx512.so.2 /usr/local/lib/libmkl_avx512.so.2
-COPY --from=builder /usr/src/libfakeintel.so /usr/local/libfakeintel.so
 
 FROM base as grpc
 

README.md

@@ -72,9 +72,9 @@ Below are some examples of the currently supported models:
 | MTEB Rank | Model Size          | Model Type  | Model ID                                                                                         |
 |-----------|---------------------|-------------|--------------------------------------------------------------------------------------------------|
 | 1         | 7B (Very Expensive) | Mistral     | [Salesforce/SFR-Embedding-2_R](https://hf.co/Salesforce/SFR-Embedding-2_R)                       |
-| 2         | 7B (Very Expensive) | Qwen2       | [Alibaba-NLP/gte-Qwen2-7B-instruct](https://hf.co/Alibaba-NLP/gte-Qwen2-7B-instruct)                       |
-| 9         | 1.5B (Expensive)    | Qwen2       | [Alibaba-NLP/gte-Qwen2-1.5B-instruct](https://hf.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct)                       |
-| 15        | 0.4B                | Alibaba GTE | [Alibaba-NLP/gte-large-en-v1.5](Alibaba-NLP/gte-large-en-v1.5)                                   |
+| 2         | 7B (Very Expensive) | Qwen2       | [Alibaba-NLP/gte-Qwen2-7B-instruct](https://hf.co/Alibaba-NLP/gte-Qwen2-7B-instruct)             |
+| 9         | 1.5B (Expensive)    | Qwen2       | [Alibaba-NLP/gte-Qwen2-1.5B-instruct](https://hf.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct)         |
+| 15        | 0.4B                | Alibaba GTE | [Alibaba-NLP/gte-large-en-v1.5](https://hf.co/Alibaba-NLP/gte-large-en-v1.5)                     |
 | 20        | 0.3B                | Bert        | [WhereIsAI/UAE-Large-V1](https://hf.co/WhereIsAI/UAE-Large-V1)                                   |
 | 24        | 0.5B                | XLM-RoBERTa | [intfloat/multilingual-e5-large-instruct](https://hf.co/intfloat/multilingual-e5-large-instruct) |
 | N/A       | 0.1B                | NomicBert   | [nomic-ai/nomic-embed-text-v1](https://hf.co/nomic-ai/nomic-embed-text-v1)                       |
@@ -568,7 +568,7 @@ supported via Docker. As such inference will be CPU bound and most likely pretty
 M1/M2 ARM CPU.
 
 ```
-docker build . -f Dockerfile-arm64 --platform=linux/arm64
+docker build . -f Dockerfile --platform=linux/arm64
 ```
 
 ## Examples

backends/Cargo.toml

@@ -7,15 +7,19 @@ homepage.workspace = true
 
 [dependencies]
 clap = { workspace = true, optional = true }
+hf-hub = { workspace = true }
+serde_json = { workspace = true }
 text-embeddings-backend-core = { path = "core" }
 text-embeddings-backend-python = { path = "python", optional = true }
 text-embeddings-backend-candle = { path = "candle", optional = true }
+text-embeddings-backend-ort = { path = "ort", optional = true }
 tokio = { workspace = true }
 tracing = { workspace = true }
 
 [features]
 clap = ["dep:clap", "text-embeddings-backend-core/clap"]
 python = ["dep:text-embeddings-backend-python"]
+ort = ["dep:text-embeddings-backend-ort"]
 candle = ["dep:text-embeddings-backend-candle"]
 cuda = ["text-embeddings-backend-candle?/cuda"]
 metal = ["text-embeddings-backend-candle?/metal"]

backends/ort/Cargo.toml

@@ -0,0 +1,17 @@
+[package]
+name = "text-embeddings-backend-ort"
+version.workspace = true
+edition.workspace = true
+authors.workspace = true
+homepage.workspace = true
+
+[dependencies]
+anyhow = { workspace = true }
+nohash-hasher = { workspace = true }
+ndarray = "0.15.6"
+ort = { version = "2.0.0-rc.2", default-features = false, features = ["download-binaries", "half", "onednn", "ndarray"] }
+text-embeddings-backend-core = { path = "../core" }
+tracing = { workspace = true }
+thiserror = { workspace = true }
+serde = { workspace = true }
+serde_json = { workspace = true }