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feat: add cuda dockerfile
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Dockerfile.local-cuda
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84
Dockerfile.local-cuda
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FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu22.04 as base
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# For tzdata
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ENV DEBIAN_FRONTEND="noninteractive" TZ="Etc/UTC"
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RUN apt-get update && apt-get upgrade -y \
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&& apt-get install -y git build-essential \
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python3 python3-pip python3.11-venv gcc wget \
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ocl-icd-opencl-dev opencl-headers clinfo \
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libclblast-dev libopenblas-dev \
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&& mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd \
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&& ln -sf /usr/bin/python3.11 /usr/bin/python3 \
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&& python3 --version
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# Install poetry
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RUN pip install pipx
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RUN python3 -m pipx ensurepath
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RUN pipx install poetry==1.8.3
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ENV PATH="/root/.local/bin:$PATH"
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ENV PATH=".venv/bin/:$PATH"
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# Dependencies to build llama-cpp
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RUN apt update && apt install -y \
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libopenblas-dev\
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ninja-build\
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build-essential\
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pkg-config\
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wget
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# https://python-poetry.org/docs/configuration/#virtualenvsin-project
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ENV POETRY_VIRTUALENVS_IN_PROJECT=true
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FROM base as dependencies
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WORKDIR /home/worker/app
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COPY pyproject.toml poetry.lock ./
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ARG POETRY_EXTRAS="ui embeddings-huggingface llms-llama-cpp vector-stores-qdrant"
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RUN poetry install --no-root --extras "${POETRY_EXTRAS}"
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# Enable GPU support
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ENV CUDA_DOCKER_ARCH=all
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ENV GGML_CUDA=1
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ENV TOKENIZERS_PARALLELISM=true
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RUN CMAKE_ARGS="-DGGML_CUDA=on" \
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poetry run pip install \
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--force-reinstall \
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--no-cache-dir \
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--verbose \
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llama-cpp-python==0.2.84 \
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numpy==1.26.0
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FROM base as app
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ENV PYTHONUNBUFFERED=1
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ENV PORT=8080
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ENV APP_ENV=prod
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ENV PYTHONPATH="$PYTHONPATH:/home/worker/app/private_gpt/"
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EXPOSE 8080
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# Prepare a non-root user
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# More info about how to configure UIDs and GIDs in Docker:
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# https://github.com/systemd/systemd/blob/main/docs/UIDS-GIDS.md
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# Define the User ID (UID) for the non-root user
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# UID 100 is chosen to avoid conflicts with existing system users
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ARG UID=1000
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# Define the Group ID (GID) for the non-root user
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# GID 65534 is often used for the 'nogroup' or 'nobody' group
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ARG GID=65534
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RUN adduser --system --gid ${GID} --uid ${UID} --home /home/worker worker
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WORKDIR /home/worker/app
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RUN chown worker /home/worker/app
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RUN mkdir local_data && chown worker local_data
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RUN mkdir models && chown worker models
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COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv
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COPY --chown=worker private_gpt/ private_gpt
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COPY --chown=worker *.yaml ./
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COPY --chown=worker scripts/ scripts
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USER worker
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ENTRYPOINT python -m private_gpt
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