64 lines
2.6 KiB
Docker
64 lines
2.6 KiB
Docker
# Use the official release image with its matching CUDA/PyTorch stack.
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ARG VLLM_VERSION=0.31.0
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ARG VLLM_BASE_IMAGE=vllm/vllm-openai
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ARG VLLM_BASE_TAG=v${VLLM_VERSION}
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# We use registry-based layer caching for the dependencies,
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# where the tag is determined based on the hash of the contents
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# of files like pyproject.toml, etc. The deps stage should have
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# everything except the actual project dir, since that should not
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# change much across branches.
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FROM ${VLLM_BASE_IMAGE}:${VLLM_BASE_TAG} AS deps
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ARG VLLM_VERSION
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# Keep APP_DIR outside /workspace so k8s Buildkite workspace mounts cannot
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# shadow the editable install target (#5364). Docker WORKDIR creates /opt if
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# needed.
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ARG APP_DIR=/opt/vllm-omni
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WORKDIR ${APP_DIR}
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RUN ln -sf /usr/bin/python3 /usr/bin/python
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# Placeholder package tree so editable install can register APP_DIR.
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# The final stage COPY --link fills this directory with the real sources;
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# the editable .pth / egg-link keeps resolving imports there — no PYTHONPATH.
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RUN mkdir -p vllm_omni && touch vllm_omni/__init__.py
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# Install system dependencies
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RUN apt-get update && \
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apt-get install -y espeak-ng git jq && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Copy dependency related things first and install deps/
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# We set the version str to 0.0.0 since it doesn't matter
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# for CI
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COPY pyproject.toml setup.py ./
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COPY requirements/ requirements/
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# Scope the override to Omni; dependency source builds need their own versions.
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ENV VLLM_OMNI_VERSION_OVERRIDE=0.0.0
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# Editable install: deps + project metadata are cached in this layer, while
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# the package itself is linked to APP_DIR (populated later by COPY --link).
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# Do NOT use a non-editable install here — that copies an empty stub into
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# site-packages and breaks ``import vllm_omni.entrypoints``.
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RUN uv pip install --system -e ".[dev]"
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# Fail the image build if dependency resolution replaced the selected vLLM.
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# The CPU builder has no NVIDIA driver; CUDA imports are checked at the start
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# of each GPU test job by .buildkite/cuda/scripts/check_vllm_runtime.py.
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RUN python3 -c "import vllm; assert vllm.__version__ == '${VLLM_VERSION}', vllm.__version__"
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# The final stage just copies the working dir on top of the
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# dependencies image. This uses --link so that we can skip
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# the image pull in Buildkite when we have a cache hit.
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#
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# IMPORTANT: Do not make any modifications that depend on the
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# file system after the --link copy, otherwise we'd need to pull
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# the heavy base image to build it. Editable install above already
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# registered APP_DIR, so we must not re-pip-install after COPY.
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FROM deps
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ARG APP_DIR=/opt/vllm-omni
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WORKDIR ${APP_DIR}
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COPY --link . .
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ENTRYPOINT []
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