180 lines
8.2 KiB
Plaintext
180 lines
8.2 KiB
Plaintext
ARG PLATFORM=xpu
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FROM lukemathwalker/cargo-chef:latest-rust-1.79 AS chef
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WORKDIR /usr/src
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ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
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FROM chef AS planner
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COPY Cargo.lock Cargo.lock
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COPY Cargo.toml Cargo.toml
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COPY rust-toolchain.toml rust-toolchain.toml
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COPY proto proto
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COPY benchmark benchmark
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COPY router router
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COPY backends backends
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COPY launcher launcher
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RUN cargo chef prepare --recipe-path recipe.json
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FROM chef AS builder
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RUN PROTOC_ZIP=protoc-21.12-linux-x86_64.zip && \
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curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v21.12/$PROTOC_ZIP && \
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unzip -o $PROTOC_ZIP -d /usr/local bin/protoc && \
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unzip -o $PROTOC_ZIP -d /usr/local 'include/*' && \
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rm -f $PROTOC_ZIP
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COPY --from=planner /usr/src/recipe.json recipe.json
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RUN cargo chef cook --profile release-opt --recipe-path recipe.json
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ARG GIT_SHA
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ARG DOCKER_LABEL
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COPY Cargo.toml Cargo.toml
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COPY rust-toolchain.toml rust-toolchain.toml
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COPY proto proto
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COPY benchmark benchmark
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COPY router router
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COPY backends backends
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COPY launcher launcher
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RUN cargo build --profile release-opt
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# Text Generation Inference base image for Intel
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FROM intel/intel-extension-for-pytorch:2.1.30-xpu AS xpu
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USER root
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# libssl.so.1.1 is not installed on Ubuntu 22.04 by default, install it
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RUN wget http://nz2.archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl1.1_1.1.1f-1ubuntu2_amd64.deb && \
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dpkg -i ./libssl1.1_1.1.1f-1ubuntu2_amd64.deb
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RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null
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RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
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| 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
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RUN apt-get update && apt install -y intel-basekit xpu-smi cmake python3-dev ninja-build pciutils
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# Text Generation Inference base env
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ENV HUGGINGFACE_HUB_CACHE=/data \
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HF_HUB_ENABLE_HF_TRANSFER=1 \
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PORT=80
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WORKDIR /usr/src
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RUN wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_dev/xpu/torch-2.1.0.post1%2Bcxx11.abi-cp310-cp310-linux_x86_64.whl && pip install torch-2.1.0.post1+cxx11.abi-cp310-cp310-linux_x86_64.whl
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RUN pip install https://github.com/intel/intel-xpu-backend-for-triton/releases/download/v2.1.0/triton-2.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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RUN git clone https://github.com/intel/intel-extension-for-pytorch && cd intel-extension-for-pytorch && git checkout -b distributed origin/dev/distributed
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# Install server
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COPY proto proto
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COPY server server
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COPY server/Makefile server/Makefile
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RUN cd server && \
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make gen-server && \
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pip install -r requirements_intel.txt && \
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pip install ".[accelerate, peft, outlines]" --no-cache-dir
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ENV CCL_ROOT=/opt/intel/oneapi/ccl/latest
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ENV I_MPI_ROOT=/opt/intel/oneapi/mpi/latest
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ENV FI_PROVIDER_PATH=/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/lib/prov:/usr/lib/x86_64-linux-gnu/libfabric
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ENV LIBRARY_PATH=/opt/intel/oneapi/mpi/latest/lib:/opt/intel/oneapi/ccl/latest/lib/:/opt/intel/oneapi/mkl/latest/lib/:/opt/intel/oneapi/compiler/latest/lib
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ENV LD_LIBRARY_PATH=/opt/intel/oneapi/ccl/latest/lib/:/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/lib:/opt/intel/oneapi/mpi/latest/lib:/opt/intel/oneapi/mkl/latest/lib:/opt/intel/oneapi/compiler/latest/opt/compiler/lib:/opt/intel/oneapi/compiler/latest/lib:/opt/intel/oneapi/lib:/opt/intel/oneapi/lib/intel64:
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ENV PATH=/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/bin:/opt/intel/oneapi/mpi/latest/bin:/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/bin:/opt/intel/oneapi/mkl/latest/bin/:/opt/intel/oneapi/compiler/latest/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
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ENV CCL_ZE_IPC_EXCHANGE=sockets
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ENV CMAKE_PREFIX_PATH=/opt/intel/oneapi/mkl/latest/lib/cmake:/opt/intel/oneapi/compiler/latest
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ENV CPATH=/opt/intel/oneapi/mpi/latest/include:/opt/intel/oneapi/ccl/latest/include:/opt/intel/oneapi/mkl/latest/include
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RUN pip uninstall -y intel-extension-for-pytorch && cd intel-extension-for-pytorch && git submodule update --init --recursive && USE_AOT_DEVLIST='pvc' BUILD_SEPARATE_OPS=OFF BUILD_WITH_CPU=OFF USE_XETLA=ON python setup.py install && rm -rf /usr/src/intel-extension-for-pytorch
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# Install benchmarker
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COPY --from=builder /usr/src/target/release-opt/text-generation-benchmark /usr/local/bin/text-generation-benchmark
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# Install router
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COPY --from=builder /usr/src/target/release-opt/text-generation-router /usr/local/bin/text-generation-router
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# Install launcher
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COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/local/bin/text-generation-launcher
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# Text Generation Inference base image for Intel-cpu
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FROM ubuntu:22.04 AS cpu
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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curl \
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ca-certificates \
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make \
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g++ \
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git \
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wget \
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cmake
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ENV HUGGINGFACE_HUB_CACHE=/data \
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HF_HUB_ENABLE_HF_TRANSFER=1 \
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PORT=80
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ARG MAMBA_VERSION=23.1.0-1
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ARG PYTHON_VERSION='3.10.10'
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# Automatically set by buildx
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ARG TARGETPLATFORM
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ENV PATH /opt/conda/bin:$PATH
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# 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.
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# Install mamba
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# translating Docker's TARGETPLATFORM into mamba arches
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RUN case ${TARGETPLATFORM} in \
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"linux/arm64") MAMBA_ARCH=aarch64 ;; \
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*) MAMBA_ARCH=x86_64 ;; \
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esac && \
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curl -fsSL -v -o ~/mambaforge.sh -O "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh"
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RUN chmod +x ~/mambaforge.sh && \
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bash ~/mambaforge.sh -b -p /opt/conda && \
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rm ~/mambaforge.sh
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RUN conda install -c conda-forge gperftools mkl
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RUN pip install https://download.pytorch.org/whl/nightly/cpu/torch-2.4.0.dev20240612%2Bcpu-cp310-cp310-linux_x86_64.whl
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RUN pip install https://download.pytorch.org/whl/nightly/cpu/torchvision-0.19.0.dev20240612%2Bcpu-cp310-cp310-linux_x86_64.whl
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RUN pip install https://download.pytorch.org/whl/nightly/cpu/torchaudio-2.4.0.dev20240612%2Bcpu-cp310-cp310-linux_x86_64.whl
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RUN pip install triton
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WORKDIR /usr/src
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RUN git clone https://github.com/intel/intel-extension-for-pytorch && cd intel-extension-for-pytorch && git checkout eda7a7c42df6f9a64e0de9c2b69304ee02f2c32a
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RUN git clone https://github.com/intel/torch-ccl.git && cd torch-ccl && git checkout ccl_torch_dev_0131
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RUN cd intel-extension-for-pytorch && git submodule sync && git submodule update --init --recursive && python setup.py install
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RUN cd torch-ccl && git submodule sync && git submodule update --init --recursive && pip install .
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ENV LD_PRELOAD=/opt/conda/lib/libtcmalloc.so:/opt/conda/lib/libiomp5.so
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ENV CCL_ROOT=/opt/conda/lib/python3.10/site-packages/oneccl_bindings_for_pytorch
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ENV I_MPI_ROOT=/opt/conda/lib/python3.10/site-packages/oneccl_bindings_for_pytorch
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ENV FI_PROVIDER_PATH=/opt/conda/lib/python3.10/site-packages/oneccl_bindings_for_pytorch/opt/mpi/libfabric/lib/prov:/usr/lib64/libfabric
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ENV LD_LIBRARY_PATH=/opt/conda/lib/python3.10/site-packages/oneccl_bindings_for_pytorch/opt/mpi/libfabric/lib:/opt/conda/lib/python3.10/site-packages/oneccl_bindings_for_pytorch/lib
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ENV KMP_BLOCKTIME=1
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ENV KMP_TPAUSE=0
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ENV KMP_FORKJOIN_BARRIER_PATTERN=dist,dist
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ENV KMP_PLAIN_BARRIER_PATTERN=dist,dist
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ENV KMP_REDUCTION_BARRIER_PATTERN=dist,dist
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# Install server
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COPY proto proto
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COPY server server
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COPY server/Makefile server/Makefile
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RUN cd server && \
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make gen-server && \
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pip install -r requirements_intel.txt && \
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pip install ".[accelerate, peft, outlines]" --no-cache-dir
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# Install benchmarker
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COPY --from=builder /usr/src/target/release-opt/text-generation-benchmark /usr/local/bin/text-generation-benchmark
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# Install router
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COPY --from=builder /usr/src/target/release-opt/text-generation-router /usr/local/bin/text-generation-router
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# Install launcher
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COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/local/bin/text-generation-launcher
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FROM ${PLATFORM} AS final
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ENTRYPOINT ["text-generation-launcher"]
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CMD ["--json-output"]
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