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[CI/Build] fix uv caching in Dockerfile (vllm-project#13611)
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@dtrifiro
dtrifiro authored Feb 22, 2025
1 parent b56155e commit 78ac0f5
Showing 1 changed file with 16 additions and 16 deletions.
32 changes: 16 additions & 16 deletions Dockerfile
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
&& curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
&& python3 --version && python3 -m pip --version
# Install uv for faster pip installs
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
python3 -m pip install uv

# Upgrade to GCC 10 to avoid https://gcc.gnu.org/bugzilla/show_bug.cgi?id=92519
Expand All @@ -53,14 +53,14 @@ WORKDIR /workspace
# we need to install torch and torchvision from the nightly builds first,
# pytorch will not appear as a vLLM dependency in all of the following steps
# after this step
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu126 "torch==2.7.0.dev20250121+cu126" "torchvision==0.22.0.dev20250121"; \
fi

COPY requirements-common.txt requirements-common.txt
COPY requirements-cuda.txt requirements-cuda.txt
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system -r requirements-cuda.txt

# cuda arch list used by torch
Expand All @@ -81,7 +81,7 @@ ARG TARGETPLATFORM
# install build dependencies
COPY requirements-build.txt requirements-build.txt

RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system -r requirements-build.txt

COPY . .
Expand All @@ -101,7 +101,7 @@ ARG SCCACHE_BUCKET_NAME=vllm-build-sccache
ARG SCCACHE_REGION_NAME=us-west-2
ARG SCCACHE_S3_NO_CREDENTIALS=0
# if USE_SCCACHE is set, use sccache to speed up compilation
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=.git,target=.git \
if [ "$USE_SCCACHE" = "1" ]; then \
echo "Installing sccache..." \
Expand All @@ -121,7 +121,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \

ENV CCACHE_DIR=/root/.cache/ccache
RUN --mount=type=cache,target=/root/.cache/ccache \
--mount=type=cache,target=/root/.cache/pip \
--mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=.git,target=.git \
if [ "$USE_SCCACHE" != "1" ]; then \
python3 setup.py bdist_wheel --dist-dir=dist --py-limited-api=cp38; \
Expand All @@ -146,7 +146,7 @@ FROM base as dev
COPY requirements-lint.txt requirements-lint.txt
COPY requirements-test.txt requirements-test.txt
COPY requirements-dev.txt requirements-dev.txt
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system -r requirements-dev.txt
#################### DEV IMAGE ####################

Expand Down Expand Up @@ -178,7 +178,7 @@ RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
&& curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
&& python3 --version && python3 -m pip --version
# Install uv for faster pip installs
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
python3 -m pip install uv

# Workaround for https://github.com/openai/triton/issues/2507 and
Expand All @@ -191,14 +191,14 @@ RUN ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/
# we need to install torch and torchvision from the nightly builds first,
# pytorch will not appear as a vLLM dependency in all of the following steps
# after this step
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu124 "torch==2.6.0.dev20241210+cu124" "torchvision==0.22.0.dev20241215"; \
fi

# Install vllm wheel first, so that torch etc will be installed.
RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist \
--mount=type=cache,target=/root/.cache/pip \
--mount=type=cache,target=/root/.cache/uv \
uv pip install --system dist/*.whl --verbose

# If we need to build FlashInfer wheel before its release:
Expand All @@ -213,7 +213,7 @@ RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist
# $ ls dist
# $ # upload the wheel to a public location, e.g. https://wheels.vllm.ai/flashinfer/524304395bd1d8cd7d07db083859523fcaa246a4/flashinfer_python-0.2.1.post1+cu124torch2.5-cp38-abi3-linux_x86_64.whl

RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
. /etc/environment && \
if [ "$TARGETPLATFORM" != "linux/arm64" ]; then \
uv pip install --system https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.1.post1/flashinfer_python-0.2.1.post1+cu124torch2.5-cp38-abi3-linux_x86_64.whl ; \
Expand All @@ -225,7 +225,7 @@ COPY examples examples
# install build dependencies for JIT compilation.
# TODO: Remove this once FlashInfer AOT wheel is fixed
COPY requirements-build.txt requirements-build.txt
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system -r requirements-build.txt

#################### vLLM installation IMAGE ####################
Expand All @@ -238,15 +238,15 @@ FROM vllm-base AS test
ADD . /vllm-workspace/

# install development dependencies (for testing)
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system -r requirements-dev.txt

# install development dependencies (for testing)
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system -e tests/vllm_test_utils

# enable fast downloads from hf (for testing)
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system hf_transfer
ENV HF_HUB_ENABLE_HF_TRANSFER 1

Expand All @@ -266,7 +266,7 @@ RUN mv vllm test_docs/
FROM vllm-base AS vllm-openai-base

# install additional dependencies for openai api server
RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=cache,target=/root/.cache/uv \
if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
uv pip install --system accelerate hf_transfer 'modelscope!=1.15.0' 'bitsandbytes>=0.42.0' 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]; \
else \
Expand Down

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