Dockerfile.s390x

# Base UBI image for s390x architecture
ARG BASE_UBI_IMAGE_TAG=9.6
ARG PYTHON_VERSION=3.12
FROM registry.access.redhat.com/ubi9/ubi-minimal:${BASE_UBI_IMAGE_TAG} AS base

# Install basic dependencies
ARG PYTHON_VERSION
ENV PYTHON_VERSION=${PYTHON_VERSION}

WORKDIR /workspace

ENV LANG=C.UTF-8 \
    LC_ALL=C.UTF-8

# Install development utilities
RUN microdnf install -y \
    which procps findutils tar vim git gcc-toolset-14 gcc-toolset-14-binutils gcc-toolset-14-libatomic-devel patch zlib-devel \
    libjpeg-turbo-devel libtiff-devel libpng-devel libwebp-devel freetype-devel harfbuzz-devel \
    openssl-devel openblas openblas-devel autoconf automake libtool cmake numpy libsndfile \
    clang llvm-devel llvm-static clang-devel && \
    microdnf clean all

ENV GCC_TOOLSET_ROOT=/opt/rh/gcc-toolset-14/root \
    PATH=/opt/rh/gcc-toolset-14/root/usr/bin:/usr/local/bin:/usr/bin:/bin \
    LD_LIBRARY_PATH=/opt/rh/gcc-toolset-14/root/usr/lib64:/usr/local/lib:/usr/lib64 \
    LIBRARY_PATH=/opt/rh/gcc-toolset-14/root/usr/lib64 \
    PKG_CONFIG_PATH=/opt/rh/gcc-toolset-14/root/usr/lib64/pkgconfig

# Python Installation
FROM base AS python-install
ARG PYTHON_VERSION

ENV VIRTUAL_ENV=/opt/vllm
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
ENV PYTHON_VERSION=${PYTHON_VERSION}
RUN microdnf install -y \
    python${PYTHON_VERSION}-devel python${PYTHON_VERSION}-pip python${PYTHON_VERSION}-wheel  && \
    python${PYTHON_VERSION} -m venv $VIRTUAL_ENV && pip install --no-cache -U pip wheel uv && microdnf clean all

FROM python-install AS pyarrow

# Build Apache Arrow
WORKDIR /tmp
RUN --mount=type=cache,target=/root/.cache/uv \
    git clone https://github.com/apache/arrow.git && \
    cd arrow/cpp && \
    mkdir release && cd release && \
    cmake -DCMAKE_BUILD_TYPE=Release \
          -DCMAKE_INSTALL_PREFIX=/usr/local \
          -DARROW_PYTHON=ON \
          -DARROW_PARQUET=ON \
          -DARROW_ORC=ON \
          -DARROW_FILESYSTEM=ON \
          -DARROW_WITH_LZ4=ON \
          -DARROW_WITH_ZSTD=ON \
          -DARROW_WITH_SNAPPY=ON \
          -DARROW_JSON=ON \
          -DARROW_CSV=ON \
          -DARROW_DATASET=ON \
          -DPROTOBUF_PROTOC_EXECUTABLE=/usr/bin/protoc \
          -DARROW_DEPENDENCY_SOURCE=BUNDLED \
          .. && \
    make -j$(nproc) && \
    make install && \
    cd ../../python && \
    export PYARROW_PARALLEL=4 && \
    export ARROW_BUILD_TYPE=release && \
    uv pip install -r requirements-build.txt && \
    python setup.py build_ext --build-type=$ARROW_BUILD_TYPE --bundle-arrow-cpp bdist_wheel

FROM python-install AS numa-build
# Install numactl (needed for numa.h dependency)
WORKDIR /tmp
RUN curl -LO https://github.com/numactl/numactl/archive/refs/tags/v2.0.16.tar.gz && \
    tar -xvzf v2.0.16.tar.gz && \
    cd numactl-2.0.16 && \
    ./autogen.sh && \
    ./configure && \
    make

# Set include path
ENV C_INCLUDE_PATH="/usr/local/include:$C_INCLUDE_PATH"

FROM python-install AS rust
ENV CARGO_HOME=/root/.cargo
ENV RUSTUP_HOME=/root/.rustup
ENV PATH="$CARGO_HOME/bin:$RUSTUP_HOME/bin:$PATH"

RUN curl https://sh.rustup.rs -sSf | sh -s -- -y && \
    . "$CARGO_HOME/env" && \
    rustup default stable && \
    rustup show

FROM python-install AS torch-vision
# Install torchvision
ARG TORCH_VISION_VERSION=v0.25.0
WORKDIR /tmp
RUN --mount=type=cache,target=/root/.cache/uv \
    git clone https://github.com/pytorch/vision.git && \
    cd vision && \
    git checkout $TORCH_VISION_VERSION && \
    uv pip install torch==2.10.0 --index-url https://download.pytorch.org/whl/cpu && \
    python setup.py bdist_wheel

FROM python-install AS hf-xet-builder
# Install hf-xet
WORKDIR /tmp
ENV CARGO_HOME=/root/.cargo
ENV RUSTUP_HOME=/root/.rustup
ENV PATH="$CARGO_HOME/bin:$RUSTUP_HOME/bin:$PATH"
RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,from=rust,source=/root/.cargo,target=/root/.cargo,rw \
    --mount=type=bind,from=rust,source=/root/.rustup,target=/root/.rustup,rw \
    git clone https://github.com/huggingface/xet-core.git && \
    cd xet-core/hf_xet/ && \
    uv pip install maturin patchelf && \
    python -m maturin build --release --out dist && \
    mkdir -p /tmp/hf-xet/dist && \
    cp dist/*.whl /tmp/hf-xet/dist/

# Build numba
FROM python-install AS numba-builder

ARG MAX_JOBS
ARG NUMBA_VERSION=0.61.2

WORKDIR /tmp

# Clone all required dependencies
RUN --mount=type=cache,target=/root/.cache/uv \
    microdnf install ninja-build gcc gcc-c++ -y && \
    git clone --recursive https://github.com/llvm/llvm-project.git -b llvmorg-15.0.7  && \
    git clone --recursive https://github.com/numba/llvmlite.git -b v0.44.0 && \
    git clone --recursive https://github.com/numba/numba.git -b ${NUMBA_VERSION} && \
    cd llvm-project && mkdir build && cd  build && \
    uv pip install 'cmake<4' setuptools numpy && \
    export PREFIX=/usr/local && CMAKE_ARGS="${CMAKE_ARGS} -DLLVM_ENABLE_PROJECTS=lld;libunwind;compiler-rt" \
    CFLAGS="$(echo $CFLAGS | sed 's/-fno-plt //g')" \
    CXXFLAGS="$(echo $CXXFLAGS | sed 's/-fno-plt //g')" \
    CMAKE_ARGS="${CMAKE_ARGS} -DFFI_INCLUDE_DIR=$PREFIX/include" \
    CMAKE_ARGS="${CMAKE_ARGS} -DFFI_LIBRARY_DIR=$PREFIX/lib" \
    cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}"               \
        -DCMAKE_BUILD_TYPE=Release                       \
        -DCMAKE_LIBRARY_PATH="${PREFIX}"                 \
        -DLLVM_ENABLE_LIBEDIT=OFF                        \
        -DLLVM_ENABLE_LIBXML2=OFF                        \
        -DLLVM_ENABLE_RTTI=ON                            \
        -DLLVM_ENABLE_TERMINFO=OFF                       \
        -DLLVM_INCLUDE_BENCHMARKS=OFF                    \
        -DLLVM_INCLUDE_DOCS=OFF                          \
        -DLLVM_INCLUDE_EXAMPLES=OFF                      \
        -DLLVM_INCLUDE_GO_TESTS=OFF                      \
        -DLLVM_INCLUDE_TESTS=OFF                         \
        -DLLVM_INCLUDE_UTILS=ON                          \
        -DLLVM_INSTALL_UTILS=ON                          \
        -DLLVM_UTILS_INSTALL_DIR=libexec/llvm            \
        -DLLVM_BUILD_LLVM_DYLIB=OFF                      \
        -DLLVM_LINK_LLVM_DYLIB=OFF                       \
        -DLLVM_EXPERIMENTAL_TARGETS_TO_BUILD=WebAssembly \
        -DLLVM_ENABLE_FFI=ON                             \
        -DLLVM_ENABLE_Z3_SOLVER=OFF                      \
        -DLLVM_OPTIMIZED_TABLEGEN=ON                     \
        -DCMAKE_POLICY_DEFAULT_CMP0111=NEW               \
        -DCOMPILER_RT_BUILD_BUILTINS=ON                  \
        -DCOMPILER_RT_BUILTINS_HIDE_SYMBOLS=OFF          \
        -DCOMPILER_RT_BUILD_LIBFUZZER=OFF                \
        -DCOMPILER_RT_BUILD_CRT=OFF                      \
        -DCOMPILER_RT_BUILD_MEMPROF=OFF                  \
        -DCOMPILER_RT_BUILD_PROFILE=OFF                  \
        -DCOMPILER_RT_BUILD_SANITIZERS=OFF               \
        -DCOMPILER_RT_BUILD_XRAY=OFF                     \
        -DCOMPILER_RT_BUILD_GWP_ASAN=OFF                 \
        -DCOMPILER_RT_BUILD_ORC=OFF                      \
        -DCOMPILER_RT_INCLUDE_TESTS=OFF                  \
        ${CMAKE_ARGS} -GNinja ../llvm                    \
    && ninja install  . && \
    #  build llvmlite
    cd ../../llvmlite && python setup.py bdist_wheel && \
    cd ../numba && \
    if ! grep '#include "dynamic_annotations.h"' numba/_dispatcher.cpp; then \
       sed -i '/#include "internal\/pycore_atomic.h"/i\#include "dynamic_annotations.h"' numba/_dispatcher.cpp; \
    fi && python setup.py bdist_wheel

# Build OpenCV from source for s390x
FROM python-install AS opencv-builder
WORKDIR /tmp
ARG MAX_JOBS
ARG OPENCV_VERSION=90
ARG ENABLE_HEADLESS=1
RUN --mount=type=cache,target=/root/.cache/uv \
    uv pip install numpy setuptools  wheel scikit_build build && \
    git clone --recursive https://github.com/opencv/opencv-python.git -b ${OPENCV_VERSION} && \
    cd opencv-python && \
    python -m build --wheel --installer=uv --outdir /tmp/opencv-python/dist

# Build Outlines Core
FROM python-install AS outlines-core-builder
WORKDIR /tmp
ENV CARGO_HOME=/root/.cargo
ENV RUSTUP_HOME=/root/.rustup
ENV PATH="$CARGO_HOME/bin:$RUSTUP_HOME/bin:$PATH"
COPY requirements/common.txt /tmp/requirements/common.txt
ARG OUTLINES_CORE_VERSION
RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,from=rust,source=/root/.cargo,target=/root/.cargo,rw \
    --mount=type=bind,from=rust,source=/root/.rustup,target=/root/.rustup,rw \
    OUTLINES_CORE_VERSION=${OUTLINES_CORE_VERSION:-$(grep -E '^outlines_core\s*==\s*[0-9.]+' /tmp/requirements/common.txt | grep -Eo '[0-9.]+')} && \
    if [ -z "${OUTLINES_CORE_VERSION}" ]; then echo "ERROR: Could not determine outlines_core version"; exit 1; fi && \
    git clone https://github.com/dottxt-ai/outlines-core.git && \
    cd outlines-core && \
    git checkout tags/${OUTLINES_CORE_VERSION} && \
    sed -i "s/version = \"0.0.0\"/version = \"${OUTLINES_CORE_VERSION}\"/" Cargo.toml && \
    uv pip install maturin && \
    python -m maturin build --release --out dist

# Final build stage
FROM python-install AS vllm-cpu
ARG PYTHON_VERSION
ARG PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu"
# Set correct library path for torch and numactl
ENV LD_LIBRARY_PATH="/opt/vllm/lib64/python${PYTHON_VERSION}/site-packages/torch/lib:/usr/local/lib:/opt/rh/gcc-toolset-14/root/usr/lib64:$LD_LIBRARY_PATH"
ENV C_INCLUDE_PATH="/usr/local/include:$C_INCLUDE_PATH"
ENV UV_LINK_MODE=copy
ENV CARGO_HOME=/root/.cargo
ENV RUSTUP_HOME=/root/.rustup
ENV GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1
ENV PCP_DIR=/opt/rh/gcc-toolset-14/root
ENV PKG_CONFIG_PATH="/opt/rh/gcc-toolset-14/root/usr/lib64/pkgconfig:/usr/local/lib/pkgconfig/"
ENV PATH="${VIRTUAL_ENV:+${VIRTUAL_ENV}/bin}:/opt/rh/gcc-toolset-14/root/usr/bin:/usr/local/bin:$CARGO_HOME/bin:$RUSTUP_HOME/bin:$PATH"
ENV PIP_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
ENV UV_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
COPY . /workspace/vllm
WORKDIR /workspace/vllm

RUN --mount=type=bind,from=numa-build,src=/tmp/numactl-2.0.16,target=/numactl \
    make -C /numactl install

# Install dependencies, including PyTorch and Apache Arrow
RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,from=rust,source=/root/.cargo,target=/root/.cargo,rw \
    --mount=type=bind,from=rust,source=/root/.rustup,target=/root/.rustup,rw \
    --mount=type=bind,from=pyarrow,source=/tmp/arrow/python/dist,target=/tmp/arrow-wheels \
    --mount=type=bind,from=torch-vision,source=/tmp/vision/dist,target=/tmp/vision-wheels/ \
    --mount=type=bind,from=hf-xet-builder,source=/tmp/hf-xet/dist,target=/tmp/hf-xet-wheels/ \
    --mount=type=bind,from=numba-builder,source=/tmp/llvmlite/dist,target=/tmp/llvmlite-wheels/ \
    --mount=type=bind,from=numba-builder,source=/tmp/numba/dist,target=/tmp/numba-wheels/ \
    --mount=type=bind,from=opencv-builder,source=/tmp/opencv-python/dist,target=/tmp/opencv-wheels/ \
    --mount=type=bind,from=outlines-core-builder,source=/tmp/outlines-core/dist,target=/tmp/outlines-core/dist/ \
     ARROW_WHL_FILE=$(ls /tmp/arrow-wheels/pyarrow-*.whl) && \
     VISION_WHL_FILE=$(ls /tmp/vision-wheels/*.whl) && \
     HF_XET_WHL_FILE=$(ls /tmp/hf-xet-wheels/*.whl) && \
     LLVM_WHL_FILE=$(ls /tmp/llvmlite-wheels/*.whl) && \
     NUMBA_WHL_FILE=$(ls /tmp/numba-wheels/*.whl) && \
     OPENCV_WHL_FILE=$(ls /tmp/opencv-wheels/*.whl) && \
     OUTLINES_CORE_WHL_FILE=$(ls /tmp/outlines-core/dist/*.whl) && \
     uv pip install -v \    
        $ARROW_WHL_FILE  \
        $VISION_WHL_FILE \
        $HF_XET_WHL_FILE \
        $LLVM_WHL_FILE \
        $NUMBA_WHL_FILE \
        $OPENCV_WHL_FILE \
        $OUTLINES_CORE_WHL_FILE \
        --index-strategy unsafe-best-match \
        -r requirements/cpu-build.txt \
        -r requirements/cpu.txt


# Build and install vllm
RUN --mount=type=cache,target=/root/.cache/uv \
    VLLM_TARGET_DEVICE=cpu VLLM_CPU_MOE_PREPACK=0 python setup.py bdist_wheel && \
    uv pip install "$(echo dist/*.whl)[tensorizer]"

# setup non-root user for vllm
RUN umask 002 && \
    /usr/sbin/useradd --uid 2000 --gid 0 vllm && \
    mkdir -p /home/vllm && \
    chmod g+rwx /home/vllm

COPY LICENSE /licenses/vllm.md
COPY examples/*.jinja /app/data/template/

USER 2000
WORKDIR /home/vllm

# Set the default entrypoint
ENTRYPOINT ["vllm", "serve"]