[CI/Build] fix uv caching in Dockerfile (#13611)
This commit is contained in:
Daniele
GitHub
parent
b56155e7f3
commit
78ac0f591d
32
Dockerfile
32
Dockerfile
@ -28,7 +28,7 @@ RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
|
||||
&& curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
|
||||
&& python3 --version && python3 -m pip --version
|
||||
# Install uv for faster pip installs
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
python3 -m pip install uv
|
||||
|
||||
# Upgrade to GCC 10 to avoid https://gcc.gnu.org/bugzilla/show_bug.cgi?id=92519
|
||||
@ -53,14 +53,14 @@ WORKDIR /workspace
|
||||
# we need to install torch and torchvision from the nightly builds first,
|
||||
# pytorch will not appear as a vLLM dependency in all of the following steps
|
||||
# after this step
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
if [ "$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
|
||||
@ -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 . .
|
||||
@ -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 [ "$USE_SCCACHE" = "1" ]; then \
|
||||
echo "Installing sccache..." \
|
||||
@ -121,7 +121,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
|
||||
ENV CCACHE_DIR=/root/.cache/ccache
|
||||
RUN --mount=type=cache,target=/root/.cache/ccache \
|
||||
--mount=type=cache,target=/root/.cache/pip \
|
||||
--mount=type=cache,target=/root/.cache/uv \
|
||||
--mount=type=bind,source=.git,target=.git \
|
||||
if [ "$USE_SCCACHE" != "1" ]; then \
|
||||
python3 setup.py bdist_wheel --dist-dir=dist --py-limited-api=cp38; \
|
||||
@ -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 ####################
|
||||
|
||||
@ -178,7 +178,7 @@ RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
|
||||
&& curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
|
||||
&& python3 --version && python3 -m pip --version
|
||||
# Install uv for faster pip installs
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
python3 -m pip install uv
|
||||
|
||||
# Workaround for https://github.com/openai/triton/issues/2507 and
|
||||
@ -191,14 +191,14 @@ RUN ldconfig /usr/local/cuda-$(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:
|
||||
@ -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 [ "$TARGETPLATFORM" != "linux/arm64" ]; then \
|
||||
uv pip install --system https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.1.post1/flashinfer_python-0.2.1.post1+cu124torch2.5-cp38-abi3-linux_x86_64.whl ; \
|
||||
@ -225,7 +225,7 @@ COPY examples examples
|
||||
# install build dependencies for JIT compilation.
|
||||
# TODO: Remove this once FlashInfer AOT wheel is fixed
|
||||
COPY requirements-build.txt requirements-build.txt
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
uv pip install --system -r requirements-build.txt
|
||||
|
||||
#################### vLLM installation IMAGE ####################
|
||||
@ -238,15 +238,15 @@ FROM vllm-base AS test
|
||||
ADD . /vllm-workspace/
|
||||
|
||||
# install development dependencies (for testing)
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
uv pip install --system -r requirements-dev.txt
|
||||
|
||||
# install development dependencies (for testing)
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
uv pip install --system -e tests/vllm_test_utils
|
||||
|
||||
# enable fast downloads from hf (for testing)
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
uv pip install --system hf_transfer
|
||||
ENV HF_HUB_ENABLE_HF_TRANSFER 1
|
||||
|
||||
@ -266,7 +266,7 @@ RUN mv vllm test_docs/
|
||||
FROM vllm-base AS vllm-openai-base
|
||||
|
||||
# install additional dependencies for openai api server
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
if [ "$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 \
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user