[ci] Setup Release pipeline and build release wheels with cache (#5610)
Signed-off-by: kevin <kevin@anyscale.com>
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.buildkite/release-pipeline.yaml
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21
.buildkite/release-pipeline.yaml
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@ -0,0 +1,21 @@
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steps:
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- block: "Build wheels"
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- label: "Build wheel - Python {{matrix.python_version}}, CUDA {{matrix.cuda_version}}"
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agents:
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queue: cpu_queue
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commands:
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- "DOCKER_BUILDKIT=1 docker build --build-arg max_jobs=16 --build-arg USE_SCCACHE=1 --build-arg CUDA_VERSION={{matrix.cuda_version}} --build-arg PYTHON_VERSION={{matrix.python_version}} --tag vllm-ci:build-image --target build --progress plain ."
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- "mkdir artifacts"
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- "docker run --rm -v $(pwd)/artifacts:/artifacts_host vllm-ci:build-image cp -r dist /artifacts_host"
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- "aws s3 cp --recursive artifacts/dist s3://vllm-wheels/$BUILDKITE_COMMIT/"
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matrix:
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setup:
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cuda_version:
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- "11.8.0"
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- "12.1.0"
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python_version:
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- "3.8"
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- "3.9"
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- "3.10"
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- "3.11"
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58
Dockerfile
58
Dockerfile
@ -5,9 +5,26 @@
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# docs/source/dev/dockerfile/dockerfile.rst and
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# docs/source/assets/dev/dockerfile-stages-dependency.png
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ARG CUDA_VERSION=12.4.1
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#################### BASE BUILD IMAGE ####################
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# prepare basic build environment
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FROM nvidia/cuda:12.4.1-devel-ubuntu22.04 AS dev
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FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04 AS base
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ARG CUDA_VERSION=12.4.1
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ARG PYTHON_VERSION=3
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ENV DEBIAN_FRONTEND=noninteractive
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RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
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&& echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections \
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&& apt-get update -y \
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&& apt-get install -y ccache software-properties-common \
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&& add-apt-repository ppa:deadsnakes/ppa \
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&& apt-get update -y \
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&& apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv python3-pip \
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&& if [ "${PYTHON_VERSION}" != "3" ]; then update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1; fi \
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&& python3 --version \
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&& python3 -m pip --version
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RUN apt-get update -y \
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&& apt-get install -y python3-pip git curl sudo
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@ -16,7 +33,7 @@ RUN apt-get update -y \
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# https://github.com/pytorch/pytorch/issues/107960 -- hopefully
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# this won't be needed for future versions of this docker image
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# or future versions of triton.
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RUN ldconfig /usr/local/cuda-12.4/compat/
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RUN ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/
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WORKDIR /workspace
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@ -24,14 +41,7 @@ WORKDIR /workspace
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COPY requirements-common.txt requirements-common.txt
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COPY requirements-cuda.txt requirements-cuda.txt
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install -r requirements-cuda.txt
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# install development dependencies
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COPY requirements-lint.txt requirements-lint.txt
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COPY requirements-test.txt requirements-test.txt
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COPY requirements-dev.txt requirements-dev.txt
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install -r requirements-dev.txt
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python3 -m pip install -r requirements-cuda.txt
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# cuda arch list used by torch
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# can be useful for both `dev` and `test`
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@ -41,14 +51,16 @@ ARG torch_cuda_arch_list='7.0 7.5 8.0 8.6 8.9 9.0+PTX'
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ENV TORCH_CUDA_ARCH_LIST=${torch_cuda_arch_list}
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#################### BASE BUILD IMAGE ####################
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#################### WHEEL BUILD IMAGE ####################
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FROM dev AS build
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FROM base AS build
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ARG PYTHON_VERSION=3
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# install build dependencies
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COPY requirements-build.txt requirements-build.txt
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install -r requirements-build.txt
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python3 -m pip install -r requirements-build.txt
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# install compiler cache to speed up compilation leveraging local or remote caching
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RUN apt-get update -y && apt-get install -y ccache
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@ -101,9 +113,21 @@ RUN python3 check-wheel-size.py dist
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#################### EXTENSION Build IMAGE ####################
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#################### DEV IMAGE ####################
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FROM base as dev
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COPY requirements-lint.txt requirements-lint.txt
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COPY requirements-test.txt requirements-test.txt
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COPY requirements-dev.txt requirements-dev.txt
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RUN --mount=type=cache,target=/root/.cache/pip \
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python3 -m pip install -r requirements-dev.txt
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#################### DEV IMAGE ####################
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#################### vLLM installation IMAGE ####################
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# image with vLLM installed
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FROM nvidia/cuda:12.4.1-base-ubuntu22.04 AS vllm-base
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FROM nvidia/cuda:${CUDA_VERSION}-base-ubuntu22.04 AS vllm-base
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ARG CUDA_VERSION=12.4.1
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WORKDIR /vllm-workspace
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RUN apt-get update -y \
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@ -113,12 +137,12 @@ RUN apt-get update -y \
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# https://github.com/pytorch/pytorch/issues/107960 -- hopefully
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# this won't be needed for future versions of this docker image
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# or future versions of triton.
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RUN ldconfig /usr/local/cuda-12.4/compat/
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RUN ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/
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# install vllm wheel first, so that torch etc will be installed
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RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist \
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--mount=type=cache,target=/root/.cache/pip \
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pip install dist/*.whl --verbose
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python3 -m pip install dist/*.whl --verbose
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#################### vLLM installation IMAGE ####################
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@ -131,7 +155,7 @@ ADD . /vllm-workspace/
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# install development dependencies (for testing)
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install -r requirements-dev.txt
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python3 -m pip install -r requirements-dev.txt
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# doc requires source code
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# we hide them inside `test_docs/` , so that this source code
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