fea(dockerfile): better layer caching (#159)
This commit is contained in:
parent
12e5633c4d
commit
53ee09c0b0
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@ -26,7 +26,7 @@ concurrency:
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jobs:
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build-and-push-image:
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runs-on: large
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runs-on: ubuntu-latest
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permissions:
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contents: write
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packages: write
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@ -45,9 +45,7 @@ jobs:
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uses: rlespinasse/github-slug-action@v4.4.1
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- name: Install cosign
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if: github.event_name != 'pull_request'
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uses: sigstore/cosign-installer@f3c664df7af409cb4873aa5068053ba9d61a57b6 #v2.6.0
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with:
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cosign-release: 'v1.13.1'
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uses: sigstore/cosign-installer@v3.0.2
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- name: Tailscale
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uses: tailscale/github-action@v1
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with:
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@ -66,7 +64,7 @@ jobs:
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password: ${{ secrets.TAILSCALE_DOCKER_PASSWORD }}
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registry: registry.internal.huggingface.tech
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- name: Login to Azure Container Registry
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if: github.event_name != 'pull_request'
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# if: github.event_name != 'pull_request'
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uses: docker/login-action@v2.1.0
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with:
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username: ${{ secrets.AZURE_DOCKER_USERNAME }}
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@ -136,7 +134,7 @@ jobs:
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build-and-push-sagemaker-image:
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needs:
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- build-and-push-image
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runs-on: large
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v3
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@ -8,7 +8,7 @@ on:
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jobs:
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run_tests:
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runs-on: ubuntu-20.04
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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@ -17,7 +17,7 @@ concurrency:
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jobs:
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run_tests:
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runs-on: ubuntu-20.04
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runs-on: ubuntu-latest
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env:
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SCCACHE_GHA_ENABLED: "on"
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141
Dockerfile
141
Dockerfile
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@ -1,3 +1,4 @@
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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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@ -27,51 +28,135 @@ COPY router router
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COPY launcher launcher
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RUN cargo build --release
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FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 as base
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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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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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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 ubuntu:22.04 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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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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CUDA_HOME=/usr/local/cuda \
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LD_LIBRARY_PATH="/opt/miniconda/envs/text-generation/lib:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH" \
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CONDA_DEFAULT_ENV=text-generation \
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PATH=$PATH:/opt/miniconda/envs/text-generation/bin:/opt/miniconda/bin:/usr/local/cuda/bin
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PORT=80
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RUN apt-get update && apt-get install -y git curl libssl-dev && rm -rf /var/lib/apt/lists/*
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RUN cd ~ && \
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curl -L -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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chmod +x Miniconda3-latest-Linux-x86_64.sh && \
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bash ./Miniconda3-latest-Linux-x86_64.sh -bf -p /opt/miniconda && \
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conda create -n text-generation python=3.9 -y
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LABEL com.nvidia.volumes.needed="nvidia_driver"
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WORKDIR /usr/src
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# Install torch
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RUN pip install torch --extra-index-url https://download.pytorch.org/whl/cu118 --no-cache-dir
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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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make \
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&& rm -rf /var/lib/apt/lists/*
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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 conda with PyTorch installed
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COPY --from=pytorch-install /opt/conda /opt/conda
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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 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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COPY server/Makefile server/Makefile
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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
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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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/opt/miniconda/envs/text-generation/bin/pip install ".[bnb]" --no-cache-dir
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pip install ".[bnb]" --no-cache-dir
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# Install router
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COPY --from=builder /usr/src/target/release/text-generation-router /usr/local/bin/text-generation-router
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@ -86,7 +171,7 @@ RUN chmod +x entrypoint.sh
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ENTRYPOINT ["./entrypoint.sh"]
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# Original image
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# Final image
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FROM base
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ENTRYPOINT ["text-generation-launcher"]
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@ -1,10 +1,16 @@
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flash_att_commit := d478eeec8f16c7939c54e4617dbd36f59b8eeed7
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install-flash-attention:
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# Install specific version of flash attention
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flash-attention:
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# Clone flash attention
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pip install packaging
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pip uninstall flash_attn rotary_emb dropout_layer_norm -y || true
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rm -rf flash-attention || true
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git clone https://github.com/HazyResearch/flash-attention.git
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cd flash-attention && git checkout $(flash_att_commit)
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build-flash-attention: flash-attention
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cd flash-attention && git fetch && git checkout $(flash_att_commit)
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cd flash-attention && python setup.py build
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cd flash-attention/csrc/rotary && python setup.py build
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cd flash-attention/csrc/layer_norm && python setup.py build
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install-flash-attention: build-flash-attention
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pip uninstall flash_attn rotary_emb dropout_layer_norm -y || true
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cd flash-attention && python setup.py install && cd csrc/layer_norm && python setup.py install && cd ../rotary && python setup.py install
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@ -1,10 +1,13 @@
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transformers_commit := b8d969ff47c6a9d40538a6ea33df021953363afc
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install-transformers:
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# Install specific version of transformers with custom cuda kernels
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transformers:
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# Clone fork of transformers with custom CUDA kernels and sharding logic
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pip install --upgrade setuptools
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pip uninstall transformers -y || true
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rm -rf transformers || true
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git clone https://github.com/OlivierDehaene/transformers.git
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cd transformers && git checkout $(transformers_commit)
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build-transformers: transformers
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cd transformers && git fetch && git checkout $(transformers_commit) && python setup.py build
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install-transformers: build-transformers
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pip uninstall transformers -y || true
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cd transformers && python setup.py install
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