Dockerfile
----------------------
FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04
MAINTAINER Anna Shcherbina <annashch@stanford.edu>
#
# Install Miniconda in /opt/conda
#
ENV PATH /opt/conda/bin:$PATH
RUN apt-get update --fix-missing && \
apt-get install -y wget bzip2 ca-certificates curl git && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py39_4.11.0-Linux-x86_64.sh -O ~/miniconda.sh && \
/bin/bash ~/miniconda.sh -b -p /opt/conda && \
rm ~/miniconda.sh && \
/opt/conda/bin/conda clean -tipsy && \
ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
echo "conda activate base" >> ~/.bashrc
ENV PATH /opt/conda/bin:$PATH
ENV LD_LIBRARY_PATH /usr/local/cuda-10.2/lib64:/usr/local/cuda-10.2/extras/CUPTI/lib64:$LD_LIBRARY_PATH
how to build it
----------------------
docker build -t conda_docker:ninja_v1p00 .
how to run it
----------------------
docker run --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 --rm --runtime nvidia --net=host --ipc=host --security-opt apparmor:unconfined -e DISPLAY=$DISPLAY -v /home/ninja/temp:/workspace -v /home/ninja/output/:/output/ -v /etc/localtime:/etc/localtime:ro -it -w /data/ --entrypoint="/bin/bash" conda_docker:ninja_v1p00
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