mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-22 14:02:24 +00:00
38b3115a15
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
398 lines
16 KiB
Docker
398 lines
16 KiB
Docker
ARG IMAGE_TYPE=extras
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ARG BASE_IMAGE=ubuntu:22.04
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ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
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ARG INTEL_BASE_IMAGE=${BASE_IMAGE}
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# The requirements-core target is common to all images. It should not be placed in requirements-core unless every single build will use it.
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FROM ${BASE_IMAGE} AS requirements-core
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USER root
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ARG GO_VERSION=1.22.5
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ARG TARGETARCH
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ARG TARGETVARIANT
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ENV DEBIAN_FRONTEND=noninteractive
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ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,openvoice:/build/backend/python/openvoice/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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build-essential \
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ccache \
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ca-certificates \
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cmake \
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curl \
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git \
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unzip && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Install Go
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RUN curl -L -s https://go.dev/dl/go${GO_VERSION}.linux-${TARGETARCH}.tar.gz | tar -C /usr/local -xz
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ENV PATH $PATH:/root/go/bin:/usr/local/go/bin
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# Install grpc compilers
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RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2 && \
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go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
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COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
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RUN update-ca-certificates
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# Use the variables in subsequent instructions
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RUN echo "Target Architecture: $TARGETARCH"
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RUN echo "Target Variant: $TARGETVARIANT"
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# Cuda
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ENV PATH /usr/local/cuda/bin:${PATH}
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# HipBLAS requirements
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ENV PATH /opt/rocm/bin:${PATH}
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# OpenBLAS requirements and stable diffusion
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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libopenblas-dev \
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libopencv-dev && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Set up OpenCV
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RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
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WORKDIR /build
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RUN test -n "$TARGETARCH" \
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|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
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###################################
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###################################
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# The requirements-extras target is for any builds with IMAGE_TYPE=extras. It should not be placed in this target unless every IMAGE_TYPE=extras build will use it
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FROM requirements-core AS requirements-extras
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh
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ENV PATH="/root/.cargo/bin:${PATH}"
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RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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espeak-ng \
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espeak \
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python3-pip \
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python-is-python3 \
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python3-dev \
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python3-venv && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/* && \
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pip install --upgrade pip
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# Install grpcio-tools (the version in 22.04 is too old)
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RUN pip install --user grpcio-tools
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###################################
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###################################
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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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# This target will be built on top of requirements-core or requirements-extras as retermined by the IMAGE_TYPE build-arg
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FROM requirements-${IMAGE_TYPE} AS requirements-drivers
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ARG BUILD_TYPE
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ARG CUDA_MAJOR_VERSION=12
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ARG CUDA_MINOR_VERSION=4
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ENV BUILD_TYPE=${BUILD_TYPE}
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# Vulkan requirements
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RUN <<EOT bash
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if [ "${BUILD_TYPE}" = "vulkan" ]; then
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apt-get update && \
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apt-get install -y --no-install-recommends \
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software-properties-common pciutils wget gpg-agent && \
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wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
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wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
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apt-get update && \
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apt-get install -y \
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vulkan-sdk && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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fi
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EOT
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# CuBLAS requirements
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RUN <<EOT bash
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if [ "${BUILD_TYPE}" = "cublas" ]; 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" = "$TARGETARCH" ]; then
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
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fi
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if [ "arm64" = "$TARGETARCH" ]; then
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
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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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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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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 [ "${BUILD_TYPE}" = "clblas" ]; then \
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apt-get update && \
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apt-get install -y --no-install-recommends \
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libclblast-dev && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/* \
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; fi
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RUN if [ "${BUILD_TYPE}" = "hipblas" ]; 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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# 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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###################################
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###################################
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# Temporary workaround for Intel's repository to work correctly
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# https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/APT-Repository-not-working-signatures-invalid/m-p/1599436/highlight/true#M36143
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# This is a temporary workaround until Intel fixes their repository
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FROM ${INTEL_BASE_IMAGE} AS intel
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RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \
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gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
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RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified" > /etc/apt/sources.list.d/intel-graphics.list
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###################################
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###################################
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# The grpc target does one thing, it builds and installs GRPC. This is in it's own layer so that it can be effectively cached by CI.
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# You probably don't need to change anything here, and if you do, make sure that CI is adjusted so that the cache continues to work.
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FROM ${GRPC_BASE_IMAGE} AS grpc
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# This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI
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ARG GRPC_MAKEFLAGS="-j4 -Otarget"
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ARG GRPC_VERSION=v1.65.0
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ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
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WORKDIR /build
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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ca-certificates \
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build-essential \
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cmake \
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git && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# We install GRPC to a different prefix here so that we can copy in only the build artifacts later
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# saves several hundred MB on the final docker image size vs copying in the entire GRPC source tree
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# and running make install in the target container
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RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
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mkdir -p /build/grpc/cmake/build && \
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cd /build/grpc/cmake/build && \
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sed -i "216i\ TESTONLY" "../../third_party/abseil-cpp/absl/container/CMakeLists.txt" && \
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cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \
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make && \
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make install && \
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rm -rf /build
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###################################
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###################################
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# The builder target compiles LocalAI. This target is not the target that will be uploaded to the registry.
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# Adjustments to the build process should likely be made here.
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FROM requirements-drivers AS builder
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ARG GO_TAGS="stablediffusion tts p2p"
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ARG GRPC_BACKENDS
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ARG MAKEFLAGS
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ENV GRPC_BACKENDS=${GRPC_BACKENDS}
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ENV GO_TAGS=${GO_TAGS}
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ENV MAKEFLAGS=${MAKEFLAGS}
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
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ENV NVIDIA_VISIBLE_DEVICES=all
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WORKDIR /build
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COPY . .
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COPY .git .
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RUN echo "GO_TAGS: $GO_TAGS"
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RUN make prepare
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# We need protoc installed, and the version in 22.04 is too old. We will create one as part installing the GRPC build below
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# but that will also being in a newer version of absl which stablediffusion cannot compile with. This version of protoc is only
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# here so that we can generate the grpc code for the stablediffusion build
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RUN <<EOT bash
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if [ "amd64" = "$TARGETARCH" ]; then
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curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-x86_64.zip -o protoc.zip && \
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unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
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rm protoc.zip
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fi
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if [ "arm64" = "$TARGETARCH" ]; then
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curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-aarch_64.zip -o protoc.zip && \
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unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
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rm protoc.zip
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fi
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EOT
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# stablediffusion does not tolerate a newer version of abseil, build it first
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RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
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# Install the pre-built GRPC
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COPY --from=grpc /opt/grpc /usr/local
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# Rebuild with defaults backends
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WORKDIR /build
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## Build the binary
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RUN make build
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RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \
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mkdir -p /build/sources/go-piper/piper-phonemize/pi/lib/ \
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touch /build/sources/go-piper/piper-phonemize/pi/lib/keep \
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; fi
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###################################
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###################################
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# This is the final target. The result of this target will be the image uploaded to the registry.
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# If you cannot find a more suitable place for an addition, this layer is a suitable place for it.
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FROM requirements-drivers
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ARG FFMPEG
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ARG BUILD_TYPE
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ARG TARGETARCH
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ARG IMAGE_TYPE=extras
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ARG EXTRA_BACKENDS
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ARG MAKEFLAGS
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ENV BUILD_TYPE=${BUILD_TYPE}
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ENV REBUILD=false
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ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
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ENV MAKEFLAGS=${MAKEFLAGS}
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ARG CUDA_MAJOR_VERSION=12
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
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ENV NVIDIA_VISIBLE_DEVICES=all
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# Add FFmpeg
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RUN if [ "${FFMPEG}" = "true" ]; then \
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apt-get update && \
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apt-get install -y --no-install-recommends \
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ffmpeg && \
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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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WORKDIR /build
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# we start fresh & re-copy all assets because `make build` does not clean up nicely after itself
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# so when `entrypoint.sh` runs `make build` again (which it does by default), the build would fail
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# see https://github.com/go-skynet/LocalAI/pull/658#discussion_r1241971626 and
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# https://github.com/go-skynet/LocalAI/pull/434
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COPY . .
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COPY --from=builder /build/sources ./sources/
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COPY --from=grpc /opt/grpc /usr/local
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RUN make prepare-sources
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# Copy the binary
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COPY --from=builder /build/local-ai ./
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# Copy shared libraries for piper
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COPY --from=builder /build/sources/go-piper/piper-phonemize/pi/lib/* /usr/lib/
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# do not let stablediffusion rebuild (requires an older version of absl)
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COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
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# Change the shell to bash so we can use [[ tests below
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SHELL ["/bin/bash", "-c"]
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# We try to strike a balance between individual layer size (as that affects total push time) and total image size
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# Splitting the backends into more groups with fewer items results in a larger image, but a smaller size for the largest layer
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# Splitting the backends into fewer groups with more items results in a smaller image, but a larger size for the largest layer
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RUN if [[ ( "${EXTRA_BACKENDS}" =~ "coqui" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/coqui \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "parler-tts" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/parler-tts \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "diffusers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/diffusers \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "transformers-musicgen" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/transformers-musicgen \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "exllama1" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/exllama \
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; fi
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RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vall-e-x" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/vall-e-x \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "openvoice" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/openvoice \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "petals" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/petals \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "sentencetransformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/sentencetransformers \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "exllama2" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/exllama2 \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "transformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/transformers \
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; fi
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RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vllm" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/vllm \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "autogptq" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/autogptq \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "bark" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/bark \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "rerankers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/rerankers \
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; fi && \
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if [[ ( "${EXTRA_BACKENDS}" =~ "mamba" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
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make -C backend/python/mamba \
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; fi
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# Make sure the models directory exists
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RUN mkdir -p /build/models
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# Define the health check command
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HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
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CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1
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VOLUME /build/models
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EXPOSE 8080
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ENTRYPOINT [ "/build/entrypoint.sh" ]
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