[CI/build] Removes source compilation from runtime image (#26966)
Signed-off-by: bbartels <benjamin@bartels.dev>
This commit is contained in:
@@ -85,7 +85,7 @@ ARG GET_PIP_URL
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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 git curl sudo python3-pip \
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&& apt-get install -y ccache software-properties-common git curl sudo python3-pip libibverbs-dev \
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&& curl -LsSf https://astral.sh/uv/install.sh | sh \
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&& $HOME/.local/bin/uv venv /opt/venv --python ${PYTHON_VERSION} \
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&& rm -f /usr/bin/python3 /usr/bin/python3-config /usr/bin/pip \
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@@ -224,6 +224,22 @@ RUN --mount=type=cache,target=/root/.cache/ccache \
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python3 setup.py bdist_wheel --dist-dir=dist --py-limited-api=cp38; \
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fi
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# Install DeepGEMM from source
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ARG DEEPGEMM_GIT_REF
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COPY tools/install_deepgemm.sh /tmp/install_deepgemm.sh
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RUN --mount=type=cache,target=/root/.cache/uv \
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VLLM_DOCKER_BUILD_CONTEXT=1 TORCH_CUDA_ARCH_LIST="9.0a 10.0a" /tmp/install_deepgemm.sh --cuda-version "${CUDA_VERSION}" ${DEEPGEMM_GIT_REF:+--ref "$DEEPGEMM_GIT_REF"} --wheel-dir /tmp/deepgemm/dist
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# Ensure the wheel dir exists so later-stage COPY won't fail when DeepGEMM is skipped
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RUN mkdir -p /tmp/deepgemm/dist && touch /tmp/deepgemm/dist/.deepgemm_skipped
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COPY tools/ep_kernels/install_python_libraries.sh /tmp/install_python_libraries.sh
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# Install EP kernels(pplx-kernels and DeepEP)
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RUN --mount=type=cache,target=/root/.cache/uv \
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export TORCH_CUDA_ARCH_LIST='9.0a 10.0a' && \
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/tmp/install_python_libraries.sh /tmp/ep_kernels_workspace wheel && \
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find /tmp/ep_kernels_workspace/nvshmem -name '*.a' -delete
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# Check the size of the wheel if RUN_WHEEL_CHECK is true
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COPY .buildkite/check-wheel-size.py check-wheel-size.py
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# sync the default value with .buildkite/check-wheel-size.py
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@@ -289,7 +305,7 @@ RUN PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') && \
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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 git curl wget sudo vim python3-pip \
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&& apt-get install -y software-properties-common curl sudo python3-pip \
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&& apt-get install -y ffmpeg libsm6 libxext6 libgl1 \
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&& if [ ! -z ${DEADSNAKES_MIRROR_URL} ] ; then \
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if [ ! -z "${DEADSNAKES_GPGKEY_URL}" ] ; then \
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@@ -356,36 +372,32 @@ RUN --mount=type=cache,target=/root/.cache/uv \
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. /etc/environment && \
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uv pip list
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# Even when we build Flashinfer with AOT mode, there's still
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# some issues w.r.t. JIT compilation. Therefore we need to
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# install build dependencies for JIT compilation.
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# TODO: Remove this once FlashInfer AOT wheel is fixed
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COPY requirements/build.txt requirements/build.txt
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# Install deepgemm wheel that has been built in the `build` stage
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/build.txt \
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--mount=type=bind,from=build,source=/tmp/deepgemm/dist,target=/tmp/deepgemm/dist,ro \
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sh -c 'if ls /tmp/deepgemm/dist/*.whl >/dev/null 2>&1; then \
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uv pip install --system /tmp/deepgemm/dist/*.whl; \
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else \
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echo "No DeepGEMM wheels to install; skipping."; \
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fi'
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# Pytorch now installs NVSHMEM, setting LD_LIBRARY_PATH (https://github.com/pytorch/pytorch/blob/d38164a545b4a4e4e0cf73ce67173f70574890b6/.ci/manywheel/build_cuda.sh#L141C14-L141C36)
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ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
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# Install EP kernels wheels (pplx-kernels and DeepEP) that have been built in the `build` stage
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RUN --mount=type=bind,from=build,src=/tmp/ep_kernels_workspace/dist,target=/vllm-workspace/ep_kernels/dist \
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--mount=type=cache,target=/root/.cache/uv \
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uv pip install --system ep_kernels/dist/*.whl --verbose \
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--extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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# Install DeepGEMM from source
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ARG DEEPGEMM_GIT_REF
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COPY tools/install_deepgemm.sh /tmp/install_deepgemm.sh
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RUN --mount=type=cache,target=/root/.cache/uv \
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VLLM_DOCKER_BUILD_CONTEXT=1 TORCH_CUDA_ARCH_LIST="9.0a 10.0a" /tmp/install_deepgemm.sh --cuda-version "${CUDA_VERSION}" ${DEEPGEMM_GIT_REF:+--ref "$DEEPGEMM_GIT_REF"}
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COPY tools/install_gdrcopy.sh install_gdrcopy.sh
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RUN set -eux; \
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RUN --mount=type=bind,source=tools/install_gdrcopy.sh,target=/tmp/install_gdrcopy.sh,ro \
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set -eux; \
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case "${TARGETPLATFORM}" in \
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linux/arm64) UUARCH="aarch64" ;; \
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linux/amd64) UUARCH="x64" ;; \
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*) echo "Unsupported TARGETPLATFORM: ${TARGETPLATFORM}" >&2; exit 1 ;; \
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esac; \
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./install_gdrcopy.sh "${GDRCOPY_OS_VERSION}" "${GDRCOPY_CUDA_VERSION}" "${UUARCH}"; \
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rm ./install_gdrcopy.sh
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# Install EP kernels(pplx-kernels and DeepEP)
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COPY tools/ep_kernels/install_python_libraries.sh install_python_libraries.sh
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ENV CUDA_HOME=/usr/local/cuda
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RUN export TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-9.0a 10.0a+PTX}" \
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&& bash install_python_libraries.sh
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/tmp/install_gdrcopy.sh "${GDRCOPY_OS_VERSION}" "${GDRCOPY_CUDA_VERSION}" "${UUARCH}"
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# CUDA image changed from /usr/local/nvidia to /usr/local/cuda in 12.8 but will
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# return to /usr/local/nvidia in 13.0 to allow container providers to mount drivers
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@@ -415,6 +427,11 @@ ENV UV_INDEX_STRATEGY="unsafe-best-match"
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# Use copy mode to avoid hardlink failures with Docker cache mounts
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ENV UV_LINK_MODE=copy
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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 git
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# install development dependencies (for testing)
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RUN --mount=type=cache,target=/root/.cache/uv \
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CUDA_MAJOR="${CUDA_VERSION%%.*}"; \
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@@ -455,12 +472,11 @@ ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
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# Reference: https://github.com/astral-sh/uv/pull/1694
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ENV UV_HTTP_TIMEOUT=500
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COPY requirements/kv_connectors.txt requirements/kv_connectors.txt
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# install additional dependencies for openai api server
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RUN --mount=type=cache,target=/root/.cache/uv \
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--mount=type=bind,source=requirements/kv_connectors.txt,target=/tmp/kv_connectors.txt,ro \
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if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then \
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uv pip install --system -r requirements/kv_connectors.txt; \
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uv pip install --system -r /tmp/kv_connectors.txt; \
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fi; \
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if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
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BITSANDBYTES_VERSION="0.42.0"; \
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