ARG IMAGE_TYPE=extras ARG BASE_IMAGE=ubuntu:22.04 ARG GRPC_BASE_IMAGE=${BASE_IMAGE} ARG INTEL_BASE_IMAGE=${BASE_IMAGE} # The requirements-core target is common to all images. It should not be placed in requirements-core unless every single build will use it. FROM ${BASE_IMAGE} AS requirements-core USER root ARG GO_VERSION=1.21.7 ARG TARGETARCH ARG TARGETVARIANT ENV DEBIAN_FRONTEND=noninteractive ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,openvoice:/build/backend/python/openvoice/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh" RUN apt-get update && \ apt-get install -y --no-install-recommends \ build-essential \ ccache \ ca-certificates \ cmake \ curl \ git \ unzip && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # Install Go RUN curl -L -s https://go.dev/dl/go${GO_VERSION}.linux-${TARGETARCH}.tar.gz | tar -C /usr/local -xz ENV PATH $PATH:/root/go/bin:/usr/local/go/bin # Install grpc compilers RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@latest && \ go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/ RUN update-ca-certificates # Use the variables in subsequent instructions RUN echo "Target Architecture: $TARGETARCH" RUN echo "Target Variant: $TARGETVARIANT" # Cuda ENV PATH /usr/local/cuda/bin:${PATH} # HipBLAS requirements ENV PATH /opt/rocm/bin:${PATH} # OpenBLAS requirements and stable diffusion RUN apt-get update && \ apt-get install -y --no-install-recommends \ libopenblas-dev \ libopencv-dev && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # Set up OpenCV RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2 WORKDIR /build RUN test -n "$TARGETARCH" \ || (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`') ################################### ################################### # The requirements-extras target is for any builds with IMAGE_TYPE=extras. It should not be placed in this target unless every IMAGE_TYPE=extras build will use it FROM requirements-core AS requirements-extras RUN curl -LsSf https://astral.sh/uv/install.sh | sh ENV PATH="/root/.cargo/bin:${PATH}" RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y RUN apt-get update && \ apt-get install -y --no-install-recommends \ espeak-ng \ espeak \ python3-pip \ python-is-python3 \ python3-dev \ python3-venv && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* && \ pip install --upgrade pip # Install grpcio-tools (the version in 22.04 is too old) RUN pip install --user grpcio-tools ################################### ################################### # 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. # This target will be built on top of requirements-core or requirements-extras as retermined by the IMAGE_TYPE build-arg FROM requirements-${IMAGE_TYPE} AS requirements-drivers ARG BUILD_TYPE ARG CUDA_MAJOR_VERSION=11 ARG CUDA_MINOR_VERSION=7 ENV BUILD_TYPE=${BUILD_TYPE} # CuBLAS requirements RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \ apt-get update && \ apt-get install -y --no-install-recommends \ software-properties-common pciutils && \ curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \ dpkg -i cuda-keyring_1.1-1_all.deb && \ rm -f cuda-keyring_1.1-1_all.deb && \ apt-get update && \ apt-get install -y --no-install-recommends \ cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \ libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \ libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \ libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \ libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* \ ; fi # If we are building with clblas support, we need the libraries for the builds RUN if [ "${BUILD_TYPE}" = "clblas" ]; then \ apt-get update && \ apt-get install -y --no-install-recommends \ libclblast-dev && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* \ ; fi RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \ apt-get update && \ apt-get install -y --no-install-recommends \ hipblas-dev \ rocblas-dev && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* && \ # 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 # to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency ldconfig \ ; fi ################################### ################################### # Temporary workaround for Intel's repository to work correctly # https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/APT-Repository-not-working-signatures-invalid/m-p/1599436/highlight/true#M36143 # This is a temporary workaround until Intel fixes their repository FROM ${INTEL_BASE_IMAGE} AS intel RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \ gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg 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 ################################### ################################### # 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. # 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. FROM ${GRPC_BASE_IMAGE} AS grpc # This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI ARG GRPC_MAKEFLAGS="-j4 -Otarget" ARG GRPC_VERSION=v1.58.0 ENV MAKEFLAGS=${GRPC_MAKEFLAGS} WORKDIR /build RUN apt-get update && \ apt-get install -y --no-install-recommends \ ca-certificates \ build-essential \ cmake \ git && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # We install GRPC to a different prefix here so that we can copy in only the build artifacts later # saves several hundred MB on the final docker image size vs copying in the entire GRPC source tree # and running make install in the target container RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \ mkdir -p /build/grpc/cmake/build && \ cd /build/grpc/cmake/build && \ cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \ make && \ make install && \ rm -rf /build ################################### ################################### # The builder target compiles LocalAI. This target is not the target that will be uploaded to the registry. # Adjustments to the build process should likely be made here. FROM requirements-drivers AS builder ARG GO_TAGS="stablediffusion tts p2p" ARG GRPC_BACKENDS ARG MAKEFLAGS ENV GRPC_BACKENDS=${GRPC_BACKENDS} ENV GO_TAGS=${GO_TAGS} ENV MAKEFLAGS=${MAKEFLAGS} ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0" ENV NVIDIA_VISIBLE_DEVICES=all WORKDIR /build COPY . . COPY .git . RUN echo "GO_TAGS: $GO_TAGS" RUN make prepare # We need protoc installed, and the version in 22.04 is too old. We will create one as part installing the GRPC build below # but that will also being in a newer version of absl which stablediffusion cannot compile with. This version of protoc is only # here so that we can generate the grpc code for the stablediffusion build RUN curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \ unzip -j -d /usr/local/bin protoc.zip bin/protoc && \ rm protoc.zip # stablediffusion does not tolerate a newer version of abseil, build it first RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build # Install the pre-built GRPC COPY --from=grpc /opt/grpc /usr/local # Rebuild with defaults backends WORKDIR /build RUN make build RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \ mkdir -p /build/sources/go-piper/piper-phonemize/pi/lib/ \ touch /build/sources/go-piper/piper-phonemize/pi/lib/keep \ ; fi ################################### ################################### # This is the final target. The result of this target will be the image uploaded to the registry. # If you cannot find a more suitable place for an addition, this layer is a suitable place for it. FROM requirements-drivers ARG FFMPEG ARG BUILD_TYPE ARG TARGETARCH ARG IMAGE_TYPE=extras ARG EXTRA_BACKENDS ARG MAKEFLAGS ENV BUILD_TYPE=${BUILD_TYPE} ENV REBUILD=false ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz ENV MAKEFLAGS=${MAKEFLAGS} ARG CUDA_MAJOR_VERSION=11 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0" ENV NVIDIA_VISIBLE_DEVICES=all # Add FFmpeg RUN if [ "${FFMPEG}" = "true" ]; then \ apt-get update && \ apt-get install -y --no-install-recommends \ ffmpeg && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* \ ; fi WORKDIR /build # we start fresh & re-copy all assets because `make build` does not clean up nicely after itself # so when `entrypoint.sh` runs `make build` again (which it does by default), the build would fail # see https://github.com/go-skynet/LocalAI/pull/658#discussion_r1241971626 and # https://github.com/go-skynet/LocalAI/pull/434 COPY . . COPY --from=builder /build/sources ./sources/ COPY --from=grpc /opt/grpc /usr/local RUN make prepare-sources # Copy the binary COPY --from=builder /build/local-ai ./ # Copy shared libraries for piper COPY --from=builder /build/sources/go-piper/piper-phonemize/pi/lib/* /usr/lib/ # do not let stablediffusion rebuild (requires an older version of absl) COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion # Change the shell to bash so we can use [[ tests below SHELL ["/bin/bash", "-c"] # We try to strike a balance between individual layer size (as that affects total push time) and total image size # Splitting the backends into more groups with fewer items results in a larger image, but a smaller size for the largest layer # Splitting the backends into fewer groups with more items results in a smaller image, but a larger size for the largest layer RUN if [[ ( "${EXTRA_BACKENDS}" =~ "coqui" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/coqui \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "parler-tts" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/parler-tts \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "diffusers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/diffusers \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "transformers-musicgen" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/transformers-musicgen \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "exllama1" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/exllama \ ; fi RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vall-e-x" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/vall-e-x \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "openvoice" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/openvoice \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "petals" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/petals \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "sentencetransformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/sentencetransformers \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "exllama2" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/exllama2 \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "transformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/transformers \ ; fi RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vllm" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/vllm \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "autogptq" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/autogptq \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "bark" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/bark \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "rerankers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/rerankers \ ; fi && \ if [[ ( "${EXTRA_BACKENDS}" =~ "mamba" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \ make -C backend/python/mamba \ ; fi # Make sure the models directory exists RUN mkdir -p /build/models # Define the health check command HEALTHCHECK --interval=1m --timeout=10m --retries=10 \ CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1 VOLUME /build/models EXPOSE 8080 ENTRYPOINT [ "/build/entrypoint.sh" ]