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Fix docker python version (#2845)
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Dockerfile
21
Dockerfile
@ -4,21 +4,8 @@
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#################### BASE BUILD IMAGE ####################
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FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 AS dev
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# Set the DEBIAN_FRONTEND variable to noninteractive to avoid interactive prompts
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ENV DEBIAN_FRONTEND=noninteractive
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# Preconfigure tzdata for US Central Time (build running in us-central-1 but this really doesn't matter.)
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RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
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&& echo 'tzdata tzdata/Zones/America select Chicago' | debconf-set-selections
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# We install an older version of python here for testing to make sure vllm works with older versions of Python.
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# For the actual openai compatible server, we will use the latest version of Python.
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RUN apt-get update -y \
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&& apt-get install -y software-properties-common \
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&& add-apt-repository ppa:deadsnakes/ppa -y \
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&& apt-get update -y \
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&& apt-get install -y python3.8 python3.8-dev python3.8-venv python3-pip git \
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&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1
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&& apt-get install -y python3-pip git
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# Workaround for https://github.com/openai/triton/issues/2507 and
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# https://github.com/pytorch/pytorch/issues/107960 -- hopefully
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@ -88,8 +75,10 @@ RUN --mount=type=cache,target=/root/.cache/pip VLLM_USE_PRECOMPILED=1 pip instal
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#################### RUNTIME BASE IMAGE ####################
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# use CUDA base as CUDA runtime dependencies are already installed via pip
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FROM nvidia/cuda:12.1.0-base-ubuntu22.04 AS vllm-base
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# We used base cuda image because pytorch installs its own cuda libraries.
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# However cupy depends on cuda libraries so we had to switch to the runtime image
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# In the future it would be nice to get a container with pytorch and cuda without duplicating cuda
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FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04 AS vllm-base
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# libnccl required for ray
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RUN apt-get update -y \
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@ -12,4 +12,4 @@ pydantic >= 2.0 # Required for OpenAI server.
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aioprometheus[starlette]
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pynvml == 11.5.0
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triton >= 2.1.0
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cupy-cuda12x == 12.3.0 # Required for CUDA graphs. CUDA 11.8 users should install cupy-cuda11x instead.
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cupy-cuda12x == 12.1.0 # Required for CUDA graphs. CUDA 11.8 users should install cupy-cuda11x instead.
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