mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-20 21:23:10 +00:00
95 lines
3.0 KiB
Docker
95 lines
3.0 KiB
Docker
ARG GO_VERSION=1.20-bullseye
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FROM golang:$GO_VERSION as requirements
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ARG BUILD_TYPE
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ARG CUDA_MAJOR_VERSION=11
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ARG CUDA_MINOR_VERSION=7
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ARG SPDLOG_VERSION="1.11.0"
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ARG PIPER_PHONEMIZE_VERSION='1.0.0'
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ARG TARGETARCH
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ARG TARGETVARIANT
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ENV BUILD_TYPE=${BUILD_TYPE}
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ARG GO_TAGS="stablediffusion tts"
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RUN apt-get update && \
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apt-get install -y ca-certificates cmake curl patch
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# CuBLAS requirements
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RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
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apt-get install -y software-properties-common && \
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apt-add-repository contrib && \
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.0-1_all.deb && \
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dpkg -i cuda-keyring_1.0-1_all.deb && \
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rm -f cuda-keyring_1.0-1_all.deb && \
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apt-get update && \
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apt-get install -y cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
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; fi
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ENV PATH /usr/local/cuda/bin:${PATH}
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WORKDIR /build
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# OpenBLAS requirements
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RUN apt-get install -y libopenblas-dev
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# Stable Diffusion requirements
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RUN apt-get install -y libopencv-dev && \
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ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
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# piper requirements
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# Use pre-compiled Piper phonemization library (includes onnxruntime)
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#RUN if echo "${GO_TAGS}" | grep -q "tts"; then \
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RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz" | \
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tar -xzvf - && \
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mkdir -p "spdlog-${SPDLOG_VERSION}/build" && \
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cd "spdlog-${SPDLOG_VERSION}/build" && \
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cmake .. && \
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make -j8 && \
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cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" && \
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cd /build && \
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mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
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curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH}${TARGETVARIANT}.tar.gz" | \
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tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
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cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /lib64/ && \
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cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
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cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
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# \
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# ; fi
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FROM requirements as builder
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ARG GO_TAGS="stablediffusion tts"
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ENV GO_TAGS=${GO_TAGS}
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
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ENV NVIDIA_VISIBLE_DEVICES=all
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COPY . .
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RUN ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build
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FROM requirements
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ARG FFMPEG
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ENV REBUILD=true
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ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
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# Add FFmpeg
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RUN if [ "${FFMPEG}" = "true" ]; then \
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apt-get install -y ffmpeg \
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; fi
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WORKDIR /build
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COPY . .
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RUN make prepare-sources
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COPY --from=builder /build/local-ai ./
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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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EXPOSE 8080
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ENTRYPOINT [ "/build/entrypoint.sh" ] |