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# syntax=docker/dockerfile:1
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# Build as `docker build . -t localgpt`, requires BuildKit.
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# Run as `docker run -it --mount src="$HOME/.cache",target=/root/.cache,type=bind --gpus=all localgpt`, requires Nvidia container toolkit.
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FROM nvidia/cuda:11.7.1-runtime-ubuntu22.04
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RUN apt-get update && apt-get install -y software-properties-common
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RUN apt-get install -y g++-11 make python3 python-is-python3 pip
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# only copy what's needed at every step to optimize layer cache
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COPY ./requirements.txt .
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# use BuildKit cache mount to drastically reduce redownloading from pip on repeated builds
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RUN --mount=type=cache,target=/root/.cache CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install --timeout 100 -r requirements.txt
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COPY SOURCE_DOCUMENTS ./SOURCE_DOCUMENTS
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COPY ingest.py constants.py ./
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# Docker BuildKit does not support GPU during *docker build* time right now, only during *docker run*.
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# See <https://github.com/moby/buildkit/issues/1436>.
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# If this changes in the future you can `docker build --build-arg device_type=cuda . -t localgpt` (+GPU argument to be determined).
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ARG device_type=cpu
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RUN --mount=type=cache,target=/root/.cache python ingest.py --device_type $device_type
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COPY . .
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ENV device_type=cuda
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CMD python run_localGPT.py --device_type $device_type
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