Dockerfile.cpu

# This vLLM Dockerfile is used to construct image that can build and run vLLM on x86 CPU platform.

FROM ubuntu:22.04 AS cpu-test-1

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 \
    && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12

# https://intel.github.io/intel-extension-for-pytorch/cpu/latest/tutorials/performance_tuning/tuning_guide.html
# intel-openmp provides additional performance improvement vs. openmp
# 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 intel-openmp

ENV LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:/usr/local/lib/libiomp5.so"

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

RUN pip install https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_dev/cpu/intel_extension_for_pytorch-2.4.0%2Bgitfbaa4bc-cp310-cp310-linux_x86_64.whl

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

FROM cpu-test-1 AS build

WORKDIR /workspace/vllm

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

COPY ./vllm ./

# Support for building with non-AVX512 vLLM: docker build --build-arg VLLM_CPU_DISABLE_AVX512="true" ...
ARG VLLM_CPU_DISABLE_AVX512
ENV VLLM_CPU_DISABLE_AVX512=${VLLM_CPU_DISABLE_AVX512}

ENV CCACHE_DIR=/root/.cache/ccache
RUN --mount=type=cache,target=/root/.cache/pip \
    --mount=type=cache,target=/root/.cache/ccache \
    VLLM_TARGET_DEVICE=cpu python3 setup.py bdist_wheel && \
    pip install dist/*.whl

WORKDIR /workspace/

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

WORKDIR /app/
RUN pip show vllm | grep Version | awk '{print $2}'

COPY requirements.cpu.txt /app/requirements.txt

RUN python3.10 -m pip install -r requirements.txt
# RUN pip show torch && sleep 60
COPY . /app

# CMD python3.10 server_vllm.py --model "hivata/functionary-small-v2.1-AWQ" --host 0.0.0.0 --trust-remote-code
ENTRYPOINT [ "python3.10", "server_vllm.py" ]