ARG GO_VERSION=1.21-bullseye ARG IMAGE_TYPE=extras # extras or core FROM golang:$GO_VERSION as requirements-core ARG BUILD_TYPE ARG CUDA_MAJOR_VERSION=11 ARG CUDA_MINOR_VERSION=7 ARG TARGETARCH ARG TARGETVARIANT ENV BUILD_TYPE=${BUILD_TYPE} 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,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,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" ARG GO_TAGS="stablediffusion tinydream tts" RUN apt-get update && \ apt-get install -y ca-certificates curl patch pip cmake && apt-get clean 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: $TARGETVARIANT" # CuBLAS requirements RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \ apt-get install -y software-properties-common && \ apt-add-repository contrib && \ curl -O https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.0-1_all.deb && \ dpkg -i cuda-keyring_1.0-1_all.deb && \ rm -f cuda-keyring_1.0-1_all.deb && \ apt-get update && \ apt-get install -y cuda-nvcc-${CUDA_MAJOR_VERSION}-${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 \ ; fi ENV PATH /usr/local/cuda/bin:${PATH} # OpenBLAS requirements and stable diffusion RUN apt-get install -y \ libopenblas-dev \ libopencv-dev \ && apt-get clean # Set up OpenCV RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2 WORKDIR /build RUN test -n "$TARGETARCH" \ || (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`') # Extras requirements FROM requirements-core as requirements-extras RUN curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \ install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \ gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \ echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list && \ echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list && \ apt-get update && \ apt-get install -y conda && apt-get clean ENV PATH="/root/.cargo/bin:${PATH}" RUN pip install --upgrade pip RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y RUN apt-get install -y espeak-ng espeak && apt-get clean ################################### ################################### FROM requirements-${IMAGE_TYPE} as builder ARG GO_TAGS="stablediffusion tts" ARG GRPC_BACKENDS ARG BUILD_GRPC=true ENV GRPC_BACKENDS=${GRPC_BACKENDS} ENV GO_TAGS=${GO_TAGS} ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0" ENV NVIDIA_VISIBLE_DEVICES=all WORKDIR /build COPY . . COPY .git . RUN make prepare # stablediffusion does not tolerate a newer version of abseil, build it first RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build RUN if [ "${BUILD_GRPC}" = "true" ]; then \ git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \ cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \ -DgRPC_BUILD_TESTS=OFF \ ../.. && make -j12 install \ ; fi # Rebuild with defaults backends RUN make build RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \ mkdir -p /build/sources/go-piper/piper-phonemize/pi/lib/ \ touch /build/sources/go-piper/piper-phonemize/pi/lib/keep \ ; fi ################################### ################################### FROM requirements-${IMAGE_TYPE} ARG FFMPEG ARG BUILD_TYPE ARG TARGETARCH ARG IMAGE_TYPE=extras ENV BUILD_TYPE=${BUILD_TYPE} ENV REBUILD=false ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz ARG CUDA_MAJOR_VERSION=11 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0" ENV NVIDIA_VISIBLE_DEVICES=all ENV PIP_CACHE_PURGE=true # Add FFmpeg RUN if [ "${FFMPEG}" = "true" ]; then \ apt-get install -y ffmpeg && apt-get clean \ ; fi WORKDIR /build # we start fresh & re-copy all assets because `make build` does not clean up nicely after itself # so when `entrypoint.sh` runs `make build` again (which it does by default), the build would fail # see https://github.com/go-skynet/LocalAI/pull/658#discussion_r1241971626 and # https://github.com/go-skynet/LocalAI/pull/434 COPY . . COPY --from=builder /build/sources ./sources/ COPY --from=builder /build/grpc ./grpc/ RUN make prepare-sources && cd /build/grpc/cmake/build && make install && rm -rf grpc # Copy the binary COPY --from=builder /build/local-ai ./ # Copy shared libraries for piper COPY --from=builder /build/sources/go-piper/piper-phonemize/pi/lib/* /usr/lib/ # do not let stablediffusion rebuild (requires an older version of absl) COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion ## Duplicated from Makefile to avoid having a big layer that's hard to push RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/autogptq \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/bark \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/diffusers \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/vllm \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/mamba \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/sentencetransformers \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/transformers \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/vall-e-x \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/exllama \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/exllama2 \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/petals \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/transformers-musicgen \ ; fi RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \ PATH=$PATH:/opt/conda/bin make -C backend/python/coqui \ ; 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 EXPOSE 8080 ENTRYPOINT [ "/build/entrypoint.sh" ]