Update Dockerfile

Dockerfile

@@ -5,6 +5,29 @@ LABEL maintainer="UC San Diego ITS/ETS <[email protected]>"
 # 2) change to root to install packages
 USER root
 
+
+# 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/*"
+# wget -nv https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin -O /etc/apt/preferences.d/cuda-repository-pin-600 \u0026\u0026 	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub \u0026\u0026 	add-apt-repository \"deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /\" \u0026\u0026 	apt-get -q update \u0026\u0026 	apt-get install -qqy 		cuda-11-1 		cuda-nvcc-11-1 		cuda-toolkit-11-1 \u0026\u0026 	wget -nv https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcudnn8_8.0.5.39-1+cuda11.1_amd64.deb -O /var/tmp/libcudnn8.deb \u0026\u0026 	wget -nv https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libnccl2_2.8.4-1+cuda11.1_amd64.deb -O /var/tmp/libnccl2.deb \u0026\u0026 	dpkg -i /var/tmp/libcudnn8.deb /var/tmp/libnccl2.deb"
+#fix-permissions $CONDA_DIR \u0026\u0026 	fix-permissions /home/$NB_USER"
+#/opt/conda/bin/python3 -m pip install --upgrade pip"
+#/opt/conda/bin/conda install -y 		jaxlib==0.1.55 		tensorboard"
+#pip install torch 		-f https://download.pytorch.org/whl/rocm4.0.1/torch_stable.html \u0026\u0026 	pip install ninja \u0026\u0026 	pip install 'git+https://github.com/pytorch/[email protected]'"
+#pip install --no-cache-dir 		torch==1.8.0+cu111 		torchvision==0.9.0+cu111 		torchaudio==0.8.0 		-f https://download.pytorch.org/whl/torch_stable.html"
+#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"
+#(nop)  USER root
+#(nop) COPY dir:36a36661fdff68aec2767c0def27d2808864e4eca0678ba1eb7e93151342e0cb in /usr/share/datahub/tests/scipy-ml-notebook "
+#chmod -R +x /usr/share/datahub/tests/scipy-ml-notebook \u0026\u0026 	chown -R 1000:100 /home/jovyan \u0026\u0026 	chmod +x /run_jupyter.sh"
+#(nop)  USER 1000:100
+#(nop)  ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda/bin
+
+
+
 #RUN conda env create --file /tmp/env.yml && \
 #    eval "$(conda shell.bash hook)" && \
 #    conda activate ${KERNEL} && \