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sudo add-apt-repository -y ppa:apt-fast/stable
sudo add-apt-repository -y ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get -y install apt-fast
# prompts
sudo apt-fast -y upgrade
sudo apt-fast install -y python3-pip ubuntu-drivers-common libvorbis-dev libflac-dev libsndfile-dev cmake build-essential libgflags-dev libgoogle-glog-dev libgtest-dev google-mock zlib1g-dev libeigen3-dev libboost-all-dev libasound2-dev libogg-dev libtool libfftw3-dev libbz2-dev liblzma-dev libgoogle-glog0v5 gcc-6 gfortran-6 g++-6 doxygen graphviz libsox-fmt-all parallel exuberant-ctags vim-nox python-powerline python3-pip ack lsyncd
sudo apt-fast install -y tigervnc-standalone-server firefox mesa-common-dev
cat << 'EOF' >> ~/.ssh/config
Host *
ServerAliveInterval 60
StrictHostKeyChecking no
Host github.com
User git
Port 22
Hostname github.com
TCPKeepAlive yes
IdentitiesOnly yes
EOF
chmod 600 ~/.ssh/config
echo "alias config='/usr/bin/git --git-dir=$HOME/.cfg/ --work-tree=$HOME'" >> ~/.bashrc
source ~/.bashrc
echo ".cfg" >> .gitignore
git clone --bare https://github.com/fastai/dotfiles.git .cfg/
config checkout
config config --local status.showUntrackedFiles no
git clone https://github.com/VundleVim/Vundle.vim.git ~/.vim/bundle/Vundle.vim
pip3 install powerline-status
ubuntu-drivers devices
sudo apt-fast install -y nvidia-driver-430
sudo modprobe nvidia
nvidia-smi
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-6 40 --slave /usr/bin/g++ g++ /usr/bin/g++-6 --slave /usr/bin/gfortran gfortran /usr/bin/gfortran-6
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 40 --slave /usr/bin/g++ g++ /usr/bin/g++-7 --slave /usr/bin/gfortran gfortran /usr/bin/gfortran-7
cd
mkdir download
cd download/
wget https://repo.anaconda.com/archive/Anaconda3-2019.07-Linux-x86_64.sh
bash Anaconda3-*.sh -b
cd
conda init
source ~/.bashrc
cd download
wget http://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run
chmod u+x cuda_1*_linux*
#./cuda_1*_linux* --extract=`pwd`
#sudo ./NVIDIA-*.run -q
sudo ./cuda_*_linux.run --silent --toolkit --driver
echo /usr/local/cuda/lib64 | sudo tee -a /etc/ld.so.conf
sudo ldconfig
echo 'export PATH=/usr/local/cuda/bin:$PATH' >> ~/.bashrc
source ~/.bashrc
cd ~/download
wget http://files.fast.ai/files/cudnn-10.1-linux-x64-v7.6.3.30.tgz
tar xf cudnn-10*.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda/include
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
sudo ldconfig
cd
mkdir git
cd ~/git
git clone https://github.com/fastai/fastai.git &
git clone https://github.com/fastai/fastprogress.git &
git clone https://github.com/fastai/fastec2.git &
git clone https://github.com/fastai/course-v3.git
sudo snap install hub --classic
cat << 'EOF' >> ~/.bashrc
alias git=hub
alias gpr='git pull-request -m "$(git log -1 --pretty=%B)"'
clonefork() {
hub clone "$1"
cd "${1##*/}"
hub fork
}
EOF
source ~/.bashrc
conda install -c pytorch -c fastai fastai pytorch
# This section is just if you want to run fastai & fastprogress from master
cd ~/git
conda uninstall -y fastai fastprogress
cd fastai
pip install -e .
cd ../fastprogress
pip install -e .
jupyter notebook --generate-config
cat << 'EOF' >> ~/.jupyter/jupyter_notebook_config.py
c.NotebookApp.open_browser = False
#c.NotebookApp.token = ''
EOF
pip install jupyter_contrib_nbextensions
jupyter contrib nbextension install --user
jupyter nbextension enable collapsible_headings/main
mkdir ~/.jupyter/custom
echo '.container { width: 99% !important; }' > ~/.jupyter/custom/custom.css
# swift stuff below
cd ~/download/
wget https://storage.googleapis.com/s4tf-kokoro-artifact-testing/latest/swift-tensorflow-DEVELOPMENT-cuda10.0-cudnn7-ubuntu18.04.tar.gz
sudo apt-fast -y install git cmake ninja-build clang python uuid-dev libicu-dev icu-devtools libbsd-dev libedit-dev libxml2-dev libsqlite3-dev swig libpython-dev libncurses5-dev pkg-config libblocksruntime-dev libcurl4-openssl-dev systemtap-sdt-dev tzdata rsync
tar xf swift-tensorflow-DEVELOPMENT-cuda10.0-cudnn7-ubuntu18.04.tar.gz
cd
mkdir swift
cd swift
mv ~/download/usr ./
cd
echo 'export PATH=~/swift/usr/bin:$PATH' >> ~/.bashrc
source ~/.bashrc
cd ~/git
git clone https://github.com/google/swift-jupyter.git
cd swift-jupyter
python register.py --sys-prefix --swift-python-use-conda --use-conda-shared-libs --swift-toolchain ~/swift
cd ~/git/course-v3
jupyter notebook
@johndpope

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johndpope commented Jul 12, 2019

fyi - You can use miniconda (~ 40mb) instead of anaconda (600mb) to manage conda environments
https://docs.conda.io/en/latest/miniconda.html

line 47 - wget https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh
https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

Should consider using zsh / oh-my-osh to keep on top of environments (as well as git branches)
Screen Shot 2019-07-13 at 6 04 17 am

lastly line 73 mkdir git - this is a terrible name / should be reserved - consider using mkdir gitWorkspace

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