LocalAI/Dockerfile

300 lines
9.9 KiB
Docker

ARG IMAGE_TYPE=extras
ARG BASE_IMAGE=ubuntu:22.04
ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
# extras or core
FROM ${BASE_IMAGE} AS requirements-core
USER root
ARG GO_VERSION=1.21.7
ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION=11
ARG CUDA_MINOR_VERSION=7
ARG TARGETARCH
ARG TARGETVARIANT
ENV BUILD_TYPE=${BUILD_TYPE}
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,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"
ARG GO_TAGS="stablediffusion tinydream tts"
RUN apt-get update && \
apt-get install -y ca-certificates curl python3-pip unzip && apt-get clean
# 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:/usr/local/go/bin
# Install grpc compilers
ENV PATH $PATH:/root/go/bin
RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@latest && \
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest
# Install protobuf (the version in 22.04 is too old)
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
# Install grpcio-tools (the version in 22.04 is too old)
RUN pip install --user grpcio-tools
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 && \
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 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 \
; fi
# Cuda
ENV PATH /usr/local/cuda/bin:${PATH}
# HipBLAS requirements
ENV PATH /opt/rocm/bin:${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 $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
###################################
###################################
FROM requirements-core AS requirements-extras
RUN apt install -y gpg && \
curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list && \
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list && \
apt-get update && \
apt-get install -y conda && apt-get clean
ENV PATH="/root/.cargo/bin:${PATH}"
RUN apt-get install -y python3-pip && apt-get clean
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
RUN if [ ! -e /usr/bin/python ]; then \
ln -s /usr/bin/python3 /usr/bin/python \
; fi
###################################
###################################
FROM ${GRPC_BASE_IMAGE} AS grpc
ARG MAKEFLAGS
ARG GRPC_VERSION=v1.58.0
ENV MAKEFLAGS=${MAKEFLAGS}
WORKDIR /build
RUN apt-get update && \
apt-get install -y build-essential cmake git && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc
WORKDIR /build/grpc/cmake/build
RUN cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF ../.. && \
make
###################################
###################################
FROM requirements-${IMAGE_TYPE} AS builder
ARG GO_TAGS="stablediffusion tts"
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: $GO_TAGS"
RUN apt-get update && \
apt-get install -y build-essential cmake git && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN make prepare
# If we are building with clblas support, we need the libraries for the builds
RUN if [ "${BUILD_TYPE}" = "clblas" ]; then \
apt-get update && \
apt-get install -y libclblast-dev && \
apt-get clean \
; fi
# stablediffusion does not tolerate a newer version of abseil, build it first
RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
COPY --from=grpc /build/grpc ./grpc/
WORKDIR /build/grpc/cmake/build
RUN make install
# 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
###################################
###################################
FROM requirements-${IMAGE_TYPE}
ARG FFMPEG
ARG BUILD_TYPE
ARG TARGETARCH
ARG IMAGE_TYPE=extras
ARG MAKEFLAGS
ENV BUILD_TYPE=${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
ENV PIP_CACHE_PURGE=true
# Add FFmpeg
RUN if [ "${FFMPEG}" = "true" ]; then \
apt-get install -y ffmpeg && apt-get clean \
; fi
# Add OpenCL
RUN if [ "${BUILD_TYPE}" = "clblas" ]; then \
apt-get update && \
apt-get install -y libclblast1 && \
apt-get clean \
; fi
RUN apt-get update && \
apt-get install -y cmake git && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
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 /build/grpc ./grpc/
RUN make prepare-sources && cd /build/grpc/cmake/build && make install && rm -rf /build/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 [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/autogptq \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/bark \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/diffusers \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/vllm \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/mamba \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/sentencetransformers \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/rerankers \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/transformers \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/vall-e-x \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/exllama \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/exllama2 \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/petals \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/transformers-musicgen \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
make -C backend/python/parler-tts \
; fi
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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
VOLUME /build/models
EXPOSE 8080
ENTRYPOINT [ "/build/entrypoint.sh" ]