Dockerfile

FROM nvidia/cuda:10.2-base-ubuntu18.04

# Install some basic utilities
RUN apt-get update && apt-get install -y \
    curl \
    ca-certificates \
    sudo \
    git \
    bzip2 \
    libx11-6 \
 && rm -rf /var/lib/apt/lists/*

# Create a working directory
RUN mkdir /app
WORKDIR /app

# Create a non-root user and switch to it
RUN adduser --disabled-password --gecos '' --shell /bin/bash user \
&& chown -R user:user /app
RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
USER user

# All users can use /home/user as their home directory
ENV HOME=/home/user
RUN chmod 777 /home/user

# Install Miniconda and Python 3.8
ENV CONDA_AUTO_UPDATE_CONDA=false
ENV PATH=/home/user/miniconda/bin:$PATH
RUN curl -sLo ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-py38_4.8.2-Linux-x86_64.sh \
 && chmod +x ~/miniconda.sh \
 && ~/miniconda.sh -b -p ~/miniconda \
 && rm ~/miniconda.sh \
 && conda install -y python==3.8.1 \
 && conda clean -ya


RUN conda create -n mne_pyt python=3.8

RUN pip install scipy

RUN pip install numpy

RUN pip install scikit-learn

RUN pip install pandas

RUN pip install jupyter

RUN pip install matplotlib

RUN pip install joblib

RUN pip install -U mne

RUN conda install pytorch==1.7.0 torchvision==0.8.0 cudatoolkit=10.2 -c pytorch

RUN pip install glob2
RUN pip install flake8
RUN pip install fasteners
RUN pip install psutil
RUN pip install toml

ENV NUMBA_CACHE_DIR=/tmp/numba_cache
ENV MPLCONFIGDIR=/tmp/matplotlib_cache