fix(docker): revert dockerfile changes (#186)
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OlivierDehaene
GitHub
parent
f9047562d0
commit
379c5c4da2
135
Dockerfile
135
Dockerfile
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@ -1,4 +1,3 @@
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# Rust builder
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FROM lukemathwalker/cargo-chef:latest-rust-1.67 AS chef
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WORKDIR /usr/src
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@ -28,133 +27,49 @@ COPY router router
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COPY launcher launcher
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RUN cargo build --release
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# Python builder
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# Adapted from: https://github.com/pytorch/pytorch/blob/master/Dockerfile
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FROM ubuntu:22.04 as pytorch-install
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FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 as base
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ARG PYTORCH_VERSION=2.0.0
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ARG PYTHON_VERSION=3.9
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ARG CUDA_VERSION=11.8
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ARG MAMBA_VERSION=23.1.0-1
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ARG CUDA_CHANNEL=nvidia
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ARG INSTALL_CHANNEL=pytorch
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# Automatically set by buildx
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ARG TARGETPLATFORM
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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build-essential \
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ca-certificates \
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ccache \
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cmake \
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curl \
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git && \
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rm -rf /var/lib/apt/lists/*
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RUN /usr/sbin/update-ccache-symlinks && \
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mkdir /opt/ccache && \
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ccache --set-config=cache_dir=/opt/ccache
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ENV PATH /opt/conda/bin:$PATH
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# Install conda
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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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# Install pytorch
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# On arm64 we exit with an error code
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RUN case ${TARGETPLATFORM} in \
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"linux/arm64") exit 1 ;; \
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*) /opt/conda/bin/conda update -y conda && \
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/opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" pytorch==$PYTORCH_VERSION "pytorch-cuda=$(echo $CUDA_VERSION | cut -d'.' -f 1-2)" ;; \
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esac && \
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/opt/conda/bin/conda clean -ya
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# CUDA kernels builder image
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FROM pytorch-install as kernel-builder
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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ninja-build \
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&& rm -rf /var/lib/apt/lists/*
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RUN /opt/conda/bin/conda install -c "nvidia/label/cuda-11.8.0" cuda==11.8 && \
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/opt/conda/bin/conda clean -ya
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# Build Flash Attention CUDA kernels
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FROM kernel-builder as flash-att-builder
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WORKDIR /usr/src
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COPY server/Makefile-flash-att Makefile
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# Build specific version of flash attention
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RUN make build-flash-attention
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# Build Transformers CUDA kernels
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FROM kernel-builder as transformers-builder
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WORKDIR /usr/src
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COPY server/Makefile-transformers Makefile
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# Build specific version of transformers
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RUN BUILD_EXTENSIONS="True" make build-transformers
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# Text Generation Inference base image
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FROM debian:bullseye-slim as base
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ARG TARGETPLATFORM
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ARG PYTORCH_VERSION=2.0.0
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ARG CUDA_VERSION=11.8
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# Conda and CUDA env
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ENV PATH=/opt/conda/bin:$PATH \
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NVIDIA_VISIBLE_DEVICES=all \
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NVIDIA_DRIVER_CAPABILITIES=compute,utility \
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LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
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# Text Generation Inference base env
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ENV HUGGINGFACE_HUB_CACHE=/data \
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ENV LANG=C.UTF-8 \
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LC_ALL=C.UTF-8 \
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DEBIAN_FRONTEND=noninteractive \
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HUGGINGFACE_HUB_CACHE=/data \
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HF_HUB_ENABLE_HF_TRANSFER=1 \
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MODEL_ID=bigscience/bloom-560m \
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QUANTIZE=false \
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NUM_SHARD=1 \
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PORT=80
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PORT=80 \
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CUDA_HOME=/usr/local/cuda \
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LD_LIBRARY_PATH="/opt/conda/lib:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH" \
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PATH=$PATH:/opt/conda/bin:/usr/local/cuda/bin
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LABEL com.nvidia.volumes.needed="nvidia_driver"
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RUN apt-get update && apt-get install -y git curl libssl-dev ninja-build && rm -rf /var/lib/apt/lists/*
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RUN cd ~ && \
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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-x86_64.sh" \
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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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WORKDIR /usr/src
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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libssl-dev \
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ca-certificates \
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make \
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&& rm -rf /var/lib/apt/lists/*
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# Install torch
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RUN pip install torch==2.0.0 --extra-index-url https://download.pytorch.org/whl/cu118 --no-cache-dir
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# Copy conda with PyTorch installed
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COPY --from=pytorch-install /opt/conda /opt/conda
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# Install specific version of flash attention
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COPY server/Makefile-flash-att server/Makefile
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RUN cd server && make install-flash-attention
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# Copy build artifacts from flash attention builder
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COPY --from=flash-att-builder /usr/src/flash-attention/build/lib.linux-x86_64-cpython-39 /opt/conda/lib/python3.9/site-packages
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COPY --from=flash-att-builder /usr/src/flash-attention/csrc/layer_norm/build/lib.linux-x86_64-cpython-39 /opt/conda/lib/python3.9/site-packages
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COPY --from=flash-att-builder /usr/src/flash-attention/csrc/rotary/build/lib.linux-x86_64-cpython-39 /opt/conda/lib/python3.9/site-packages
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# Install specific version of transformers
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COPY server/Makefile-transformers server/Makefile
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RUN cd server && BUILD_EXTENSIONS="True" make install-transformers
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# Copy build artifacts from transformers builder
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COPY --from=transformers-builder /usr/src/transformers /usr/src/transformers
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COPY --from=transformers-builder /usr/src/transformers/build/lib.linux-x86_64-cpython-39/transformers /usr/src/transformers/src/transformers
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# Install transformers dependencies
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RUN cd /usr/src/transformers && pip install -e . --no-cache-dir && pip install einops --no-cache-dir
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COPY server/Makefile server/Makefile
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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 ".[bnb]" --no-cache-dir
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