full capacity docker file
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# docker build -t gpt-academic-all-capacity -f docs/GithubAction+AllCapacity --network=host --build-arg http_proxy=http://localhost:10881 --build-arg https_proxy=http://localhost:10881 .
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# 从NVIDIA源,从而支持显卡(检查宿主的nvidia-smi中的cuda版本必须>=11.3)
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FROM fuqingxu/python311_texlive_ctex:latest as texdocker
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FROM nvidia/cuda:11.3.1-runtime-ubuntu20.04
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COPY --from=texdocker /usr/local/texlive/ /usr/local/texlive/
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RUN apt-get update
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RUN apt-get install -y curl proxychains curl gcc
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RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing
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ENV PATH="${PATH}:/usr/local/texlive/2023/bin/x86_64-linux:/usr/local/texlive/2024/bin/x86_64-linux:/usr/local/texlive/2025/bin/x86_64-linux:/usr/local/texlive/2026/bin/x86_64-linux"
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FROM fuqingxu/11.3.1-runtime-ubuntu20.04-with-texlive:latest
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# use python3 as the system default python
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WORKDIR /gpt
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RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
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# 下载pytorch
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RUN python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
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