Files
vllm-omni/docker/Dockerfile.xpu
T
59db6a4285 [Rebase] Rebase to vLLM 0.30.0 (#7820)
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Signed-off-by: Gao Han <hgaoaf@connect.ust.hk>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>
2026-09-22 15:52:01 +00:00

54 lines
2.0 KiB
Docker

# Target vLLM version: v0.30.0. Keep VLLM_VERSION aligned with the target vLLM
# release on every rebase.
#
# This file layers vLLM-Omni on top of the published upstream XPU image, which
# already ships a self-consistent XPU runtime (torch-xpu, oneCCL/UCX+NIXL, the
# pinned UMD/compute-runtime stack, and vLLM itself) built from
# https://github.com/vllm-project/vllm/blob/main/docker/Dockerfile.xpu. Docker
# pulls that base automatically, so there is nothing to build here beyond the
# Omni layers. Mirrors how docker/Dockerfile.ci consumes vllm/vllm-openai.
#
# If the tag does not exist yet (targeting an unreleased vLLM commit), build the
# base from upstream's own Dockerfile and point VLLM_BASE at the result:
#
# git clone --depth 1 --branch $VLLM_VERSION https://github.com/vllm-project/vllm /tmp/vllm
# docker build -t vllm-openai-xpu:local --target vllm-openai \
# -f /tmp/vllm/docker/Dockerfile.xpu /tmp/vllm
# docker build -f docker/Dockerfile.xpu --build-arg VLLM_BASE=vllm-openai-xpu:local .
#
# .buildkite/intel/scripts/run-xpu-test.sh automates that pull-then-build fallback.
ARG VLLM_BASE_IMAGE=vllm/vllm-openai-xpu
ARG VLLM_VERSION=v0.30.0
ARG VLLM_BASE=${VLLM_BASE_IMAGE}:${VLLM_VERSION}
FROM ${VLLM_BASE} AS vllm-omni
# The base image ships ENTRYPOINT ["vllm", "serve"]; clear it so this stage stays
# usable as a plain shell/test container regardless of which VLLM_BASE was used.
ENTRYPOINT []
CMD ["/bin/bash"]
RUN apt-get update && \
apt-get install -y espeak-ng ffmpeg git jq && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
WORKDIR /workspace/vllm-omni
COPY . .
ENV VLLM_OMNI_TARGET_DEVICE=xpu
# Keep the upstream oneCCL packages paired with the XPU torch runtime.
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --no-build-isolation \
".[dev]" && \
uv pip uninstall triton && \
uv pip install triton-xpu==3.7.2 --reinstall
FROM vllm-omni AS vllm-omni-openai
RUN ln -sf /usr/bin/python3 /usr/bin/python
ENV VLLM_WORKER_MULTIPROC_METHOD=spawn
ENTRYPOINT ["vllm", "serve", "--omni"]