feat: package GPU libraries inside backend containers for unified base image (#7891)
* Initial plan * Add GPU library packaging for isolated backend environments - Create scripts/build/package-gpu-libs.sh for packaging CUDA, ROCm, SYCL, and Vulkan libraries - Update llama-cpp, whisper, stablediffusion-ggml package.sh to include GPU libraries - Update Dockerfile.python to package GPU libraries into Python backends - Update libbackend.sh to set LD_LIBRARY_PATH for GPU library loading Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> * Address code review feedback: fix variable consistency and quoting Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> * Fix code review issues: improve glob handling and remove redundant variable Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> * Simplify main Dockerfile and workflow to use unified base image - Remove GPU-specific driver installation from Dockerfile (CUDA, ROCm, Vulkan, Intel) - Simplify image.yml workflow to build single unified base image for linux/amd64 and linux/arm64 - GPU libraries are now packaged in individual backend containers Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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@@ -14,7 +14,9 @@ RUN apt-get update && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# The requirements-drivers target is for BUILD_TYPE specific items. If you need to install something specific to CUDA, or specific to ROCM, it goes here.
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# GPU drivers are no longer installed in the main image.
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# Each backend now packages its own GPU libraries (CUDA, ROCm, SYCL, Vulkan)
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# This allows for a unified base image that works with any backend.
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FROM requirements AS requirements-drivers
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ARG BUILD_TYPE
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@@ -29,132 +31,6 @@ ARG UBUNTU_VERSION=2404
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RUN mkdir -p /run/localai
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RUN echo "default" > /run/localai/capability
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# Vulkan requirements
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RUN <<EOT bash
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if [ "${BUILD_TYPE}" = "vulkan" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
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apt-get update && \
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apt-get install -y --no-install-recommends \
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software-properties-common pciutils wget gpg-agent && \
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apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
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libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
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libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
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git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
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ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
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clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils mesa-vulkan-drivers && \
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wget "https://sdk.lunarg.com/sdk/download/1.4.328.1/linux/vulkansdk-linux-x86_64-1.4.328.1.tar.xz" && \
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tar -xf vulkansdk-linux-x86_64-1.4.328.1.tar.xz && \
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rm vulkansdk-linux-x86_64-1.4.328.1.tar.xz && \
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mkdir -p /opt/vulkan-sdk && \
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mv 1.4.328.1 /opt/vulkan-sdk/ && \
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cd /opt/vulkan-sdk/1.4.328.1 && \
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./vulkansdk --no-deps --maxjobs \
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vulkan-loader \
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vulkan-validationlayers \
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vulkan-extensionlayer \
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vulkan-tools \
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shaderc && \
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cp -rfv /opt/vulkan-sdk/1.4.328.1/x86_64/bin/* /usr/bin/ && \
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cp -rfv /opt/vulkan-sdk/1.4.328.1/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
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cp -rfv /opt/vulkan-sdk/1.4.328.1/x86_64/include/* /usr/include/ && \
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cp -rfv /opt/vulkan-sdk/1.4.328.1/x86_64/share/* /usr/share/ && \
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rm -rf /opt/vulkan-sdk && \
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ldconfig && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/* && \
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echo "vulkan" > /run/localai/capability
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fi
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EOT
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# CuBLAS requirements
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RUN <<EOT bash
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if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
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apt-get update && \
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apt-get install -y --no-install-recommends \
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software-properties-common pciutils
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if [ "amd64" = "$TARGETARCH" ]; then
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
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fi
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if [ "arm64" = "$TARGETARCH" ]; then
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if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
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else
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
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fi
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fi
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dpkg -i cuda-keyring_1.1-1_all.deb && \
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rm -f cuda-keyring_1.1-1_all.deb && \
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apt-get update && \
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apt-get install -y --no-install-recommends \
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cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
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libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
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libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
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libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
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libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
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libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
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if [ "arm64" = "$TARGETARCH" ]; then
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apt-get install -y --no-install-recommends \
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libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
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fi
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apt-get clean && \
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rm -rf /var/lib/apt/lists/* && \
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echo "nvidia-cuda-${CUDA_MAJOR_VERSION}" > /run/localai/capability
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fi
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EOT
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RUN <<EOT bash
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if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
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echo "nvidia-l4t-cuda-${CUDA_MAJOR_VERSION}" > /run/localai/capability
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fi
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EOT
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# https://github.com/NVIDIA/Isaac-GR00T/issues/343
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RUN <<EOT bash
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if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
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wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
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dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
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cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
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apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
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wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
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dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
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cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
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apt-get update && apt-get install -y nvpl
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fi
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EOT
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# If we are building with clblas support, we need the libraries for the builds
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RUN if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
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apt-get update && \
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apt-get install -y --no-install-recommends \
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libclblast-dev && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/* \
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; fi
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RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
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apt-get update && \
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apt-get install -y --no-install-recommends \
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hipblas-dev \
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rocblas-dev && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/* && \
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echo "amd" > /run/localai/capability && \
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# I have no idea why, but the ROCM lib packages don't trigger ldconfig after they install, which results in local-ai and others not being able
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# to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
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ldconfig \
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; fi
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RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
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ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so \
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; fi
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RUN expr "${BUILD_TYPE}" = intel && echo "intel" > /run/localai/capability || echo "not intel"
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# Cuda
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ENV PATH=/usr/local/cuda/bin:${PATH}
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# HipBLAS requirements
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ENV PATH=/opt/rocm/bin:${PATH}
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###################################
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###################################
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