vllm-project--vllm-omni/docker/Dockerfile.xpu

# Argument to configure vllm base image if pre-built
ARG VLLM_BASE=vllm-base

FROM intel/deep-learning-essentials:2025.3.2-0-devel-ubuntu24.04 AS vllm-base

WORKDIR /workspace/

ARG PYTHON_VERSION=3.12
ARG PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/xpu"

RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null && \
    echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | tee /etc/apt/sources.list.d/oneAPI.list

RUN apt clean && apt-get update -y && \
    apt-get install -y --no-install-recommends --fix-missing \
    curl \
    ffmpeg \
    git \
    libsndfile1 \
    libsm6 \
    libxext6 \
    libgl1 \
    lsb-release \
    libaio-dev \
    numactl \
    wget \
    vim \
    python3.12 \
    python3.12-dev \
    python3-pip

# Add oneAPI repo, pin oneAPI to 2025.3, then install pinned packages in one layer.
RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null && \
    echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | tee /etc/apt/sources.list.d/oneAPI.list && \
    printf '%s\n' \
    'Package: intel-oneapi-* intel-deep-learning-essentials* intel-pti*' \
    'Pin: version 2025.3*' \
    'Pin-Priority: 1001' \
    > /etc/apt/preferences.d/oneapi-2025.3.pref && \
    apt-get update -y && \
    apt-get install -y --no-install-recommends \
    intel-oneapi-compiler-dpcpp-cpp-2025.3 \
    intel-oneapi-mkl-devel-2025.3 \
    intel-oneapi-dnnl-devel-2025.3 && \
    rm -rf /var/lib/apt/lists/*

# Install UMD with fixed version
RUN mkdir neo && \
    cd neo && \
    wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.24.8/intel-igc-core-2_2.24.8+20344_amd64.deb && \
    wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.24.8/intel-igc-opencl-2_2.24.8+20344_amd64.deb && \
    wget https://github.com/intel/compute-runtime/releases/download/25.48.36300.8/intel-ocloc_25.48.36300.8-0_amd64.deb && \
    wget https://github.com/intel/compute-runtime/releases/download/25.48.36300.8/intel-opencl-icd_25.48.36300.8-0_amd64.deb && \
    wget https://github.com/intel/compute-runtime/releases/download/25.48.36300.8/libigdgmm12_22.8.2_amd64.deb && \
    wget https://github.com/intel/compute-runtime/releases/download/25.48.36300.8/libze-intel-gpu1_25.48.36300.8-0_amd64.deb && \
    wget https://github.com/oneapi-src/level-zero/releases/download/v1.26.0/level-zero_1.26.0+u24.04_amd64.deb && \
    dpkg -i *.deb && \
    cd .. && \
    rm -rf neo

ENV PATH="/root/.local/bin:$PATH"
ENV VIRTUAL_ENV="/opt/venv"
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
RUN uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV}
ENV PATH="$VIRTUAL_ENV/bin:$PATH"

# This oneccl contains the BMG support which is not the case for default version of oneapi 2025.3.
ARG ONECCL_INSTALLER="intel-oneccl-2021.15.9.14_offline.sh"
RUN wget "https://github.com/uxlfoundation/oneCCL/releases/download/2021.15.9/${ONECCL_INSTALLER}" && \
    bash "${ONECCL_INSTALLER}" -a --silent --eula accept && \
    rm "${ONECCL_INSTALLER}" && \
    echo "source /opt/intel/oneapi/setvars.sh --force" >> /root/.bashrc && \
    echo "source /opt/intel/oneapi/ccl/2021.15/env/vars.sh --force" >> /root/.bashrc
RUN rm -f /opt/intel/oneapi/ccl/latest && \
    ln -s /opt/intel/oneapi/ccl/2021.15 /opt/intel/oneapi/ccl/latest

SHELL ["bash", "-c"]
CMD ["bash", "-c", "source /root/.bashrc && exec bash"]

WORKDIR /workspace/

ENV UV_HTTP_TIMEOUT=500

# Configure package index for XPU
ENV PIP_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
ENV UV_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
ENV UV_INDEX_STRATEGY="unsafe-best-match"
ENV UV_LINK_MODE="copy"

ARG VLLM_VERSION=v0.24.0
RUN git clone -b ${VLLM_VERSION} https://github.com/vllm-project/vllm
WORKDIR /workspace/vllm

RUN --mount=type=cache,target=/root/.cache/uv \
    uv pip install --upgrade pip && \
    uv pip install -r requirements/xpu.txt && \
    uv pip install setuptools_scm &&\
    uv pip install grpcio-tools protobuf nanobind && \
    source /opt/intel/oneapi/setvars.sh --force && \
    source /opt/intel/oneapi/ccl/2021.15/env/vars.sh --force && \
    export CMAKE_PREFIX_PATH="$(python3 -c 'import site; print(site.getsitepackages()[0])'):${CMAKE_PREFIX_PATH}"

ENV LD_LIBRARY_PATH="/opt/intel/oneapi/ccl/2021.15/lib:$LD_LIBRARY_PATH:/usr/local/lib/"

ENV VLLM_TARGET_DEVICE=xpu
ENV VLLM_WORKER_MULTIPROC_METHOD=spawn

RUN --mount=type=cache,target=/root/.cache/uv \
    uv pip uninstall triton triton-xpu && \
    uv pip install triton-xpu==3.7.1 && \
    uv pip install --no-build-isolation --no-deps .

CMD ["/bin/bash"]

FROM vllm-base AS vllm-openai

# install nixl from source code
RUN uv pip install nixl

# install additional dependencies for openai api server
RUN --mount=type=cache,target=/root/.cache/uv \
    uv pip install accelerate hf_transfer pytest pytest_asyncio lm_eval[api] modelscope

# install development dependencies (for testing)
RUN uv pip install -e tests/vllm_test_utils

# ensure vllm is properly installed
RUN python -c "import vllm, inspect; print(vllm.__file__)"
RUN uv pip show vllm

CMD ["/bin/bash"]

ENTRYPOINT []

FROM ${VLLM_BASE} AS vllm-omni

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
RUN --mount=type=cache,target=/root/.cache/uv \
    uv pip install --no-build-isolation \
    --extra-index-url https://mirrors.ustc.edu.cn/pypi/simple/ \
    ".[dev]" && \
    uv pip uninstall triton oneccl oneccl-devel && \
    uv pip install triton-xpu==3.7.1 --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"]