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https://github.com/andreinechaev/nvcc4jupyter.git
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20 lines
791 B
Docker
20 lines
791 B
Docker
FROM ubuntu
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ARG VENV_PATH=/opt/dev-venv
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ENV VENV_ACTIVATE=${VENV_PATH}/bin/activate
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RUN apt update
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RUN apt install -y python3.10-venv nvidia-cuda-toolkit gcc vim git
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# the mkdir command bypasses a profiler error, which allows us to run it with
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# host code only to at least check that the profiler parameters are correctly
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# provided; without this line, some tests will fail
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RUN mkdir -p /usr/lib/x86_64-linux-gnu/nsight-compute/sections
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# we create the virtualenv here so that the devcontainer.json setting
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# python.defaultInterpreterPath can be used to find it; if we do it in the
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# post_create.sh script, the virtualenv will not be loaded and features like
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# pylance, black, isort, etc. will not work
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RUN python3.10 -m venv ${VENV_PATH}
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RUN echo "source ${VENV_ACTIVATE}" >> ~/.bashrc
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