Dockerfile.arm

# This vLLM Dockerfile is used to construct an image that can build and run vLLM on ARM CPU platform.

FROM ubuntu:22.04 AS cpu-test-arm

ENV CCACHE_DIR=/root/.cache/ccache

ENV CMAKE_CXX_COMPILER_LAUNCHER=ccache

RUN --mount=type=cache,target=/var/cache/apt \
    apt-get update -y \
    && apt-get install -y curl ccache git wget vim numactl gcc-12 g++-12 python3 python3-pip libtcmalloc-minimal4 libnuma-dev \
    && apt-get install -y ffmpeg libsm6 libxext6 libgl1 \
    && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12

# tcmalloc provides better memory allocation efficiency, e.g., holding memory in caches to speed up access of commonly-used objects.
RUN --mount=type=cache,target=/root/.cache/pip \
    pip install py-cpuinfo  # Use this to gather CPU info and optimize based on ARM Neoverse cores

# Set LD_PRELOAD for tcmalloc on ARM
ENV LD_PRELOAD="/usr/lib/aarch64-linux-gnu/libtcmalloc_minimal.so.4"

RUN echo 'ulimit -c 0' >> ~/.bashrc

WORKDIR /workspace

ARG PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu"
ENV PIP_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
RUN --mount=type=cache,target=/root/.cache/pip \
    --mount=type=bind,src=requirements-build.txt,target=requirements-build.txt \
    pip install --upgrade pip && \
    pip install -r requirements-build.txt

FROM cpu-test-arm AS build

WORKDIR /workspace/vllm

RUN --mount=type=cache,target=/root/.cache/pip \
    --mount=type=bind,src=requirements-common.txt,target=requirements-common.txt \
    --mount=type=bind,src=requirements-cpu.txt,target=requirements-cpu.txt \
    pip install -v -r requirements-cpu.txt

COPY . .
ARG GIT_REPO_CHECK=0
RUN --mount=type=bind,source=.git,target=.git \
    if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh ; fi

# Disabling AVX512 specific optimizations for ARM
ARG VLLM_CPU_DISABLE_AVX512="true"
ENV VLLM_CPU_DISABLE_AVX512=${VLLM_CPU_DISABLE_AVX512}

RUN --mount=type=cache,target=/root/.cache/pip \
    --mount=type=cache,target=/root/.cache/ccache \
    --mount=type=bind,source=.git,target=.git \
    VLLM_TARGET_DEVICE=cpu python3 setup.py bdist_wheel && \
    pip install dist/*.whl && \
    rm -rf dist

WORKDIR /workspace/

RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks

ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]