ARG PLATFORM=xpu FROM lukemathwalker/cargo-chef:latest-rust-1.80.1 AS chef WORKDIR /usr/src ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse FROM chef AS planner COPY Cargo.lock Cargo.lock COPY Cargo.toml Cargo.toml COPY rust-toolchain.toml rust-toolchain.toml COPY proto proto COPY benchmark benchmark COPY router router COPY backends backends COPY launcher launcher RUN cargo chef prepare --recipe-path recipe.json FROM chef AS builder RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ python3.11-dev RUN PROTOC_ZIP=protoc-21.12-linux-x86_64.zip && \ curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v21.12/$PROTOC_ZIP && \ unzip -o $PROTOC_ZIP -d /usr/local bin/protoc && \ unzip -o $PROTOC_ZIP -d /usr/local 'include/*' && \ rm -f $PROTOC_ZIP COPY --from=planner /usr/src/recipe.json recipe.json RUN cargo chef cook --profile release-opt --recipe-path recipe.json ARG GIT_SHA ARG DOCKER_LABEL COPY Cargo.lock Cargo.lock COPY Cargo.toml Cargo.toml COPY rust-toolchain.toml rust-toolchain.toml COPY proto proto COPY benchmark benchmark COPY router router COPY backends backends COPY launcher launcher RUN cargo build --profile release-opt --frozen # Text Generation Inference base image for Intel FROM intel/oneapi-basekit:2024.2.1-0-devel-ubuntu22.04 AS xpu USER root ARG MAMBA_VERSION=23.1.0-1 ARG PYTHON_VERSION='3.11.10' # Automatically set by buildx ARG TARGETPLATFORM ENV PATH=/opt/conda/bin:$PATH # TGI seem to require libssl.so.1.1 instead of libssl.so.3 so we can't use ubuntu 22.04. Ubuntu 20.04 has python==3.8, and TGI requires python>=3.9, hence the need for miniconda. # Install mamba # translating Docker's TARGETPLATFORM into mamba arches RUN case ${TARGETPLATFORM} in \ "linux/arm64") MAMBA_ARCH=aarch64 ;; \ *) MAMBA_ARCH=x86_64 ;; \ esac && \ curl -fsSL -v -o ~/mambaforge.sh -O "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh" RUN chmod +x ~/mambaforge.sh && \ bash ~/mambaforge.sh -b -p /opt/conda && \ rm ~/mambaforge.sh RUN case ${TARGETPLATFORM} in \ "linux/arm64") exit 1 ;; \ *) /opt/conda/bin/conda update -y conda && \ /opt/conda/bin/conda install -y "python=${PYTHON_VERSION}" ;; \ esac && \ /opt/conda/bin/conda clean -ya # libssl.so.1.1 is not installed on Ubuntu 22.04 by default, install it RUN wget http://nz2.archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl1.1_1.1.1f-1ubuntu2_amd64.deb && \ dpkg -i ./libssl1.1_1.1.1f-1ubuntu2_amd64.deb RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null 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 echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/intel-for-pytorch-gpu-dev all main" > /tmp/intel-for-pytorch-gpu-dev.list RUN mv /tmp/intel-for-pytorch-gpu-dev.list /etc/apt/sources.list.d RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt install -y xpu-smi cmake ninja-build pciutils intel-pti-dev-0.9 # Text Generation Inference base env ENV HF_HOME=/data \ HF_HUB_ENABLE_HF_TRANSFER=1 \ PORT=80 WORKDIR /usr/src RUN pip install https://intel-optimized-pytorch.s3.cn-north-1.amazonaws.com.cn/ipex_dev/xpu/torch-2.5.0a0%2Bgite84e33f-cp311-cp311-linux_x86_64.whl --no-cache-dir RUN pip install https://intel-optimized-pytorch.s3.cn-north-1.amazonaws.com.cn/ipex_dev/xpu/torchaudio-2.5.0a0%2B56bc006-cp311-cp311-linux_x86_64.whl --no-cache-dir RUN pip install https://intel-optimized-pytorch.s3.cn-north-1.amazonaws.com.cn/ipex_dev/xpu/torchvision-0.20.0a0%2B8e8a208-cp311-cp311-linux_x86_64.whl --no-cache-dir RUN pip install https://intel-optimized-pytorch.s3.cn-north-1.amazonaws.com.cn/ipex_dev/xpu/intel_extension_for_pytorch-2.5.10%2Bgit9d489a8-cp311-cp311-linux_x86_64.whl --no-cache-dir RUN pip install https://intel-optimized-pytorch.s3.cn-north-1.amazonaws.com.cn/ipex_dev/xpu/oneccl_bind_pt-2.5.0%2Bxpu-cp311-cp311-linux_x86_64.whl --no-cache-dir RUN pip install triton-xpu==3.0.0b2 --no-cache-dir # Install server COPY proto proto COPY server server COPY server/Makefile server/Makefile RUN cd server && \ make gen-server && \ pip install -r requirements_intel.txt && \ pip install ".[accelerate, compressed-tensors, peft, outlines]" --no-cache-dir ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/intel/oneapi/pti/0.9/lib:/opt/conda/lib ENV CCL_ZE_IPC_EXCHANGE=sockets #ENV TORCH_LLM_ALLREDUCE=1 #ENV CCL_TOPO_FABRIC_VERTEX_CONNECTION_CHECK=0 # Install benchmarker COPY --from=builder /usr/src/target/release-opt/text-generation-benchmark /usr/local/bin/text-generation-benchmark # Install router COPY --from=builder /usr/src/target/release-opt/text-generation-router /usr/local/bin/text-generation-router # Install launcher COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/local/bin/text-generation-launcher # Text Generation Inference base image for Intel-cpu FROM ubuntu:22.04 AS cpu RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ curl \ ca-certificates \ make \ g++-12 \ gcc-12 \ git \ wget \ cmake \ libnuma-dev RUN update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-12 12 RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 12 RUN update-alternatives --install /usr/bin/cc cc /usr/bin/gcc 30 RUN update-alternatives --set cc /usr/bin/gcc RUN update-alternatives --install /usr/bin/c++ c++ /usr/bin/g++ 30 RUN update-alternatives --set c++ /usr/bin/g++ ENV HUGGINGFACE_HUB_CACHE=/data \ HF_HUB_ENABLE_HF_TRANSFER=1 \ PORT=80 ARG MAMBA_VERSION=23.1.0-1 ARG PYTHON_VERSION='3.11.10' # Automatically set by buildx ARG TARGETPLATFORM ENV PATH /opt/conda/bin:$PATH # TGI seem to require libssl.so.1.1 instead of libssl.so.3 so we can't use ubuntu 22.04. Ubuntu 20.04 has python==3.8, and TGI requires python>=3.9, hence the need for miniconda. # Install mamba # translating Docker's TARGETPLATFORM into mamba arches RUN case ${TARGETPLATFORM} in \ "linux/arm64") MAMBA_ARCH=aarch64 ;; \ *) MAMBA_ARCH=x86_64 ;; \ esac && \ curl -fsSL -v -o ~/mambaforge.sh -O "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh" RUN chmod +x ~/mambaforge.sh && \ bash ~/mambaforge.sh -b -p /opt/conda && \ rm ~/mambaforge.sh RUN case ${TARGETPLATFORM} in \ "linux/arm64") exit 1 ;; \ *) /opt/conda/bin/conda update -y conda && \ /opt/conda/bin/conda install -y "python=${PYTHON_VERSION}" ;; \ esac && \ /opt/conda/bin/conda clean -ya RUN conda install -c conda-forge gperftools mkl RUN pip install https://download.pytorch.org/whl/nightly/cpu/torch-2.5.0.dev20240815%2Bcpu-cp311-cp311-linux_x86_64.whl RUN pip install https://download.pytorch.org/whl/nightly/cpu/torchvision-0.20.0.dev20240815%2Bcpu-cp311-cp311-linux_x86_64.whl RUN pip install https://download.pytorch.org/whl/nightly/cpu/torchaudio-2.4.0.dev20240815%2Bcpu-cp311-cp311-linux_x86_64.whl RUN pip install triton py-libnuma WORKDIR /usr/src RUN git clone https://github.com/intel/intel-extension-for-pytorch && cd intel-extension-for-pytorch && git checkout b7b552baf64283b594665b8687430fe92990e497 RUN git clone https://github.com/intel/torch-ccl.git && cd torch-ccl && git checkout v2.4.0+cpu+rc0 RUN sed -i 's/VERSION_MINOR 6/VERSION_MINOR 5/' intel-extension-for-pytorch/version.txt RUN cd intel-extension-for-pytorch && git submodule sync && git submodule update --init --recursive && python setup.py install RUN cd torch-ccl && git submodule sync && git submodule update --init --recursive && pip install . ENV LD_PRELOAD=/opt/conda/lib/libtcmalloc.so ENV CCL_ROOT=/opt/conda/lib/python3.11/site-packages/oneccl_bindings_for_pytorch ENV I_MPI_ROOT=/opt/conda/lib/python3.11/site-packages/oneccl_bindings_for_pytorch ENV FI_PROVIDER_PATH=/opt/conda/lib/python3.11/site-packages/oneccl_bindings_for_pytorch/opt/mpi/libfabric/lib/prov:/usr/lib64/libfabric ENV LD_LIBRARY_PATH=/opt/conda/lib/python3.11/site-packages/oneccl_bindings_for_pytorch/opt/mpi/libfabric/lib:/opt/conda/lib/python3.11/site-packages/oneccl_bindings_for_pytorch/lib ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib/" # Install server COPY proto proto COPY server server COPY server/Makefile server/Makefile RUN cd server && \ make gen-server && \ pip install -r requirements_intel.txt && \ pip install ".[accelerate, compressed-tensors, peft, outlines]" --no-cache-dir # Install benchmarker COPY --from=builder /usr/src/target/release-opt/text-generation-benchmark /usr/local/bin/text-generation-benchmark # Install router COPY --from=builder /usr/src/target/release-opt/text-generation-router /usr/local/bin/text-generation-router # Install launcher COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/local/bin/text-generation-launcher FROM ${PLATFORM} AS final ENV ATTENTION=paged ENV PREFIX_CACHING=0 ENV PREFILL_CHUNKING=0 ENV CUDA_GRAPHS=0 ENTRYPOINT ["text-generation-launcher"] CMD ["--json-output"]