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-# base notebook, contains Jupyter and relevant tools
-# See https://urldefense.com/v3/__https://github.com/ucsd-ets/datahub-docker-stack/wiki/Stable-Tag__;!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-zztWoVxF$ 
-# for a list of the most current containers we maintain
-#
-# datahub-base-notebook:2020.2.9 has Python 3.7.6
-ARG     BASE_CONTAINER=ucsdets/datahub-base-notebook:2020.2.9
-ARG     CONDA_DIR=/opt/conda
-ARG     NB_USER=jovyan
-
-FROM    $BASE_CONTAINER
-
-ENV     NB_GID=100
-ENV     PYTHONDONTWRITEBYTECODE 1
-ENV     PYTHONUNBUFFERED 1
-
-# change to root to install packages
-USER    root
-
-RUN     apt-get -q update && \
-        apt-get -qy install apt-utils && \
-        apt-get -qy dist-upgrade && \
-        apt-get -qy auto-remove && \
-        apt-get install -qy \
-                p7zip-full \
-                software-properties-common && \
-        apt-get clean && \
-        rm -rf /var/lib/apt/lists/*
-
-# CUDA 11
-RUN     wget -nv https://urldefense.com/v3/__https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin__;!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-z6xyXVXU$  -O /etc/apt/preferences.d/cuda-repository-pin-600 && \
-        apt-key adv --fetch-keys https://urldefense.com/v3/__https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub__;!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-zy96UN_p$  && \
-        add-apt-repository "deb https://urldefense.com/v3/__http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/__;!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-z1ptww6x$  /" && \
-        apt-get -q update && \
-        apt-get install -qqy \
-                cuda-11-1 \
-                cuda-nvcc-11-1 \
-                cuda-toolkit-11-1 && \
-        wget -nv https://urldefense.com/v3/__https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcudnn8_8.0.5.39-1*cuda11.1_amd64.deb__;Kw!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-z23hZqFj$  -O /var/tmp/libcudnn8.deb && \
-        wget -nv https://urldefense.com/v3/__https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libnccl2_2.8.4-1*cuda11.1_amd64.deb__;Kw!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-z9s2UILA$  -O /var/tmp/libnccl2.deb && \
-        dpkg -i /var/tmp/libcudnn8.deb /var/tmp/libnccl2.deb
-
-RUN     fix-permissions $CONDA_DIR && \
-        fix-permissions /home/$NB_USER
-
-# Conda & Pip pkg installs
-USER    jovyan
-
-RUN     /opt/conda/bin/python3 -m pip install --upgrade pip
-
-# Tensorboard & jaxlib
-RUN     /opt/conda/bin/conda install -y \
-                jaxlib==0.1.55 \
-                tensorboard
-
-# RocM 4.0.1 (Linux only)
-RUN     pip install torch \
-                -f https://urldefense.com/v3/__https://download.pytorch.org/whl/rocm4.0.1/torch_stable.html__;!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-zzTLvttR$  && \
-        pip install ninja && \
-        pip install 'git+https://github.com/pytorch/vision.git@v0.9.0'
-
-# PyTorch
-RUN     pip install --no-cache-dir \
-                torch==1.8.0+cu111 \
-                torchvision==0.9.0+cu111 \
-                torchaudio==0.8.0 \
-                -f https://urldefense.com/v3/__https://download.pytorch.org/whl/torch_stable.html__;!!Mih3wA!Gdyp1ukt20BXVegNBzmgDfWhJBT9wJRv0kfA_Go0MCt8kLnGgWIlIwf4enXHKWsp-Mfo5Hrl5w5FGlY-zxYAF2xj$ 
-
-# Other pkgs
-RUN     pip install --no-cache-dir \
-                gdown \
-                imageio-ffmpeg==0.4.3 \
-                jax==0.1.73 \
-                opencv-contrib-python-headless \
-                opencv-python \
-                opensimplex \
-                pillow \
-                pyspng==0.1.0 \
-                networkx \
-                scipy
-
-# Unset TORCH_CUDA_ARCH_LIST and exec.  This makes pytorch run-time
-# extension builds significantly faster as we only compile for the
-# currently active GPU configuration.
-#RUN (printf '#!/bin/bash\nunset TORCH_CUDA_ARCH_LIST\nexec \"$@\"\n' >> /entry.sh) && chmod a+x /entry.sh
-#ENTRYPOINT ["/entry.sh"]
-
-USER    root
-
-COPY    ./tests/ /usr/share/datahub/tests/scipy-ml-notebook
-RUN     chmod -R +x /usr/share/datahub/tests/scipy-ml-notebook && \
-        chown -R 1000:100 /home/jovyan && \
-        chmod +x /run_jupyter.sh
-
-USER    $NB_UID:$NB_GID
-ENV     PATH=${PATH}:/usr/local/cuda/bin
-
-# Override command to disable running jupyter notebook at launch
-# CMD ["/bin/bash"]