ARG GO_VERSION=1.20-bullseye FROM golang:$GO_VERSION as requirements ARG BUILD_TYPE ARG CUDA_MAJOR_VERSION=11 ARG CUDA_MINOR_VERSION=7 ARG SPDLOG_VERSION="1.11.0" ARG PIPER_PHONEMIZE_VERSION='1.0.0' ARG TARGETARCH ARG TARGETVARIANT ENV BUILD_TYPE=${BUILD_TYPE} ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/huggingface.py,autogptq:/build/extra/grpc/autogptq/autogptq.py,bark:/build/extra/grpc/bark/ttsbark.py,diffusers:/build/extra/grpc/diffusers/backend_diffusers.py,exllama:/build/extra/grpc/exllama/exllama.py" ENV GALLERIES='[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]' ARG GO_TAGS="stablediffusion tts" RUN apt-get update && \ apt-get install -y ca-certificates cmake curl patch pip # 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} \ ; fi ENV PATH /usr/local/cuda/bin:${PATH} # Extras requirements COPY extra/requirements.txt /build/extra/requirements.txt ENV PATH="/root/.cargo/bin:${PATH}" RUN pip install --upgrade pip RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y RUN if [ "${TARGETARCH}" = "amd64" ]; then \ pip install git+https://github.com/suno-ai/bark.git diffusers invisible_watermark transformers accelerate safetensors;\ fi RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "amd64" ]; then \ pip install torch && pip install auto-gptq https://github.com/jllllll/exllama/releases/download/0.0.10/exllama-0.0.10+cu${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}-cp39-cp39-linux_x86_64.whl;\ fi RUN pip install -r /build/extra/requirements.txt && rm -rf /build/extra/requirements.txt WORKDIR /build # OpenBLAS requirements RUN apt-get install -y libopenblas-dev # Stable Diffusion requirements RUN apt-get install -y libopencv-dev && \ ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2 # piper requirements # Use pre-compiled Piper phonemization library (includes onnxruntime) #RUN if echo "${GO_TAGS}" | grep -q "tts"; then \ RUN test -n "$TARGETARCH" \ || (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`') RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz" | \ tar -xzvf - && \ mkdir -p "spdlog-${SPDLOG_VERSION}/build" && \ cd "spdlog-${SPDLOG_VERSION}/build" && \ cmake .. && \ make -j8 && \ cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" && \ cd /build && \ mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \ curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz" | \ tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \ cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \ ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \ cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/ # \ # ; fi ################################### ################################### FROM requirements as builder ARG GO_TAGS="stablediffusion tts" 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 Makefile . RUN make get-sources COPY go.mod . RUN make prepare COPY . . COPY .git . RUN ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build ################################### ################################### FROM requirements ARG FFMPEG ARG BUILD_TYPE ARG TARGETARCH ENV BUILD_TYPE=${BUILD_TYPE} ENV REBUILD=false ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz # Add FFmpeg RUN if [ "${FFMPEG}" = "true" ]; then \ apt-get install -y ffmpeg \ ; fi WORKDIR /build # we start fresh & re-copy all assets because `make build` does not clean up nicely after itself # so when `entrypoint.sh` runs `make build` again (which it does by default), the build would fail # see https://github.com/go-skynet/LocalAI/pull/658#discussion_r1241971626 and # https://github.com/go-skynet/LocalAI/pull/434 COPY . . RUN make prepare-sources COPY --from=builder /build/local-ai ./ # To resolve exllama import error RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH:-$(go env GOARCH)}" = "amd64" ]; then \ cp -rfv /usr/local/lib/python3.9/dist-packages/exllama extra/grpc/exllama/;\ fi # 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" ]