[XPU] Add XPU Dockerfile and related docs (#1162)
Signed-off-by: Yan Ma <yan.ma@intel.com> Signed-off-by: Daniel Huang <daniel1.huang@intel.com> Co-authored-by: Daniel Huang <daniel1.huang@intel.com>
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# --8<-- [start:requirements]
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- GPU: Validated on Intel® Arc™ B-Series.
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# --8<-- [end:requirements]
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# --8<-- [start:set-up-using-python]
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vLLM-Omni currently recommends using the Docker image setup steps below.
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# --8<-- [start:pre-built-wheels]
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# --8<-- [end:pre-built-wheels]
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# --8<-- [start:build-wheel-from-source]
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# --8<-- [end:build-wheel-from-source]
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# --8<-- [start:build-docker]
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#### Build docker image
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```bash
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DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile.xpu -t vllm-omni-xpu --shm-size=4g .
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```
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#### Launch the docker image
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##### Launch with OpenAI API Server
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```
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docker run -it -d --shm-size 10g \
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--name {container_name} \
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--net=host \
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--ipc=host \
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--privileged \
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-v /dev/dri/by-path:/dev/dri/by-path \
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--device /dev/dri:/dev/dri \
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-v ~/.cache/huggingface:/root/.cache/huggingface \
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--env "HF_TOKEN=$HF_TOKEN" \
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vllm-omni-xpu \
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--model Qwen/Qwen2.5-Omni-3B --port 8091
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```
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# --8<-- [end:build-docker]
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# --8<-- [start:pre-built-images]
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# --8<-- [end:pre-built-images]
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