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Dockerfile
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FROM pytorch/pytorch:1.7.1-cuda11.0-cudnn8-devel
LABEL maintainer="Yibo Lin <[email protected]>"
# Rotates to the keys used by NVIDIA as of 27-APR-2022.
RUN rm /etc/apt/sources.list.d/cuda.list
RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
# Installs system dependencies.
RUN apt-get update \
&& apt-get install -y \
flex \
libcairo2-dev \
libboost-all-dev
# Installs system dependencies from conda.
RUN conda install -y -c conda-forge bison
# Installs cmake.
ADD https://cmake.org/files/v3.21/cmake-3.21.0-linux-x86_64.sh /cmake-3.21.0-linux-x86_64.sh
RUN mkdir /opt/cmake \
&& sh /cmake-3.21.0-linux-x86_64.sh --prefix=/opt/cmake --skip-license \
&& ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake \
&& cmake --version
# Installs python dependencies.
RUN pip install \
pyunpack>=0.1.2 \
patool>=1.12 \
matplotlib>=2.2.2 \
cairocffi>=0.9.0 \
pkgconfig>=1.4.0 \
setuptools>=39.1.0 \
scipy>=1.1.0 \
numpy>=1.15.4 \
shapely>=1.7.0