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After Installing Ubuntu (Detailed version)
==========================================

Contents
--------
[ToC]
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Cuda
----

- [Download](https://developer.nvidia.com/cuda-downloads)
- Or run thefollowing commands,

    wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
    sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
    sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
    sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
    sudo apt-get update
    sudo apt-get -y install cuda

- Check `nvidia-smi`
<details>
<summary>Setting Cuda path on .bashrc</summary>

- Open .bashrc

    nano ~/.bashrc

- Add this lines to .bashrc file

    export CUDAHOME=/usr/local/cuda
    export PATH=${CUDAHOME}/bin:${CUDAHOME}/NsightCompute-2019.3${PATH:+:${PATH}}
    export LD_LIBRARY_PATH=${CUDAHOME}/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

    sudo sh ~/.bashrc

</details>

CudaNN
------
- Reference [Document](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html)
- Download [cudNN](https://developer.nvidia.com/cudnn)
- cuDNN Runtime Library for Ubuntu18.04 (Deb)
- cuDNN Developer Library for Ubuntu18.04 (Deb)
- cuDNN Code Samples and User Guide for Ubuntu18.04 (Deb)
- Installing from a Debian File
- Navigate to your <cudnnpath> directory containing cuDNN Debian file.
- Install the runtime library, for example:
`sudo dpkg -i libcudnn7_7.6.5.32-1+cuda10.2_amd64.deb`
- Install the developer library, for example:
`sudo dpkg -i libcudnn7-dev_7.6.5.32-1+cuda10.2_amd64.deb`
- Install the code samples and the cuDNN Library User Guide, for example:
`sudo dpkg -i libcudnn7-doc_7.6.5.32-1+cuda10.2_amd64.deb`
- Verifying The cuDNN Install On Linux
- To verify that cuDNN is installed and is running properly, compile the mnistCUDNN sample located in the /usr/src/cudnn_samples_v7 directory in the debian file.

        cp -r /usr/src/cudnn_samples_v7/ $HOME
        cd  $HOME/cudnn_samples_v7/mnistCUDNN
        make clean && make
        ./mnistCUDNN

- If cuDNN is properly installed and running on your Linux system, you will see a message similar to the following: `Test passed!`
- Also check, `nvcc --version`

Setup
-----

### Install Pyenv Procedure

sudo apt-get install -y make build-essential libssl-dev zlib1g-dev libbz2-dev \
libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev libncursesw5-dev \
xz-utils tk-dev libffi-dev liblzma-dev python-openssl git

git clone https://github.com/pyenv/pyenv.git ~/.pyenv
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo -e 'if command -v pyenv 1>/dev/null 2>&1; then\n  eval "$(pyenv init -)"\nfi' >> ~/.bashrc
exec "$SHELL"
pyenv install 3.7.3
pyenv global 3.7.3
python --version

</details>

<details>
<summary>Virtual Environment Setup</summary>

## Prerequisites
* Setup pyenv
* Set global pyenv version to 3.7.3

## Install virtualenv

pip install virtualenv

## Create a new virtual environment

virtualenv venv

## Activate your virtual environment

source venv/bin/activate
pip install <dependencies go here>

## Export your dependencies

pip freeze > requirements.txt

## Import your dependencies

pip install -r requirements.txt

</details>

<details>
<summary>Pip install</summary>

-

    pip install torch torchvision Cython 

</details>

- Check Cuda on torch

    pip install torch torchvision

    import torch
    torch.cuda.is_available()
    print(torch.cuda.get_device_name(0))
    print('Allocated:', round(torch.cuda.memory_allocated(0)/1024**3,1), 'GB')
    print('Cached:   ', round(torch.cuda.memory_cached(0)/1024**3,1), 'GB')

Important Sofwares
------------------

- [Chrome](https://www.google.com/chrome/)
- [Slack](https://slack.com/intl/ja-jp/downloads/linux)
- [Teamviewer](https://www.teamviewer.com/en/download/linux/)
- [VS Code](https://code.visualstudio.com/download)
- [Pycharm](https://www.jetbrains.com/pycharm/download/#section=linux)
- [typora](https://typora.io/#linux)
- VLC
`sudo snap install vlc`
- [SimpleNote](https://github.com/Automattic/simplenote-electron/releases/tag/v1.15.1)
`sudo snap install simplenote`

Better Ubuntu
-------------
### Minimize on Click
Enable ‘Minimize on Click’ for the Ubuntu Dock
`gsettings set org.gnome.shell.extensions.dash-to-dock click-action 'minimize'`

### gnome-tweaks
`sudo apt-get install gnome-tweaks`

### Terminator

- Add Terminator Repository:

sudo add-apt-repository ppa:gnome-terminator

- Update sources.list

sudo apt-get update

- Install Terminator

sudo apt-get install terminator

Open Software & Updates, Other Software tab.
find the PPA definition that contains "gnome-terminator"
select it and click Edit
change the Distribution field from yakkety to xenial

<details>
<summary>Keyboard</summary>

[(ref)](https://help.ubuntu.com/community/JapaneseInput)
1. Run the following command in the terminal and then reboot

sudo apt install -y ibus-mozc

2. Open Region & Language
3. Click on Manage Installed Languages
4. Click on Install
5. Close
6. Click on + sign
7. Click on Japanese
8. Click on Japanese (Mozc) then add
\

</details>

***
Bash
----
<details>
<summary>How to update bash commands</summary>

- Open .bashrc

    nano ~/.bashrc

- Add this lines to .bashrc file

    export dataset=/home/jitesh/detectron_tutorial/dataset
    export dl=/home/jitesh/Downloads

- Update bashrc

    sudo sh ~/.bashrc

</details>

### [bashrc](/TRh_PAp_Qt2cadomJKqSFA)
### [bash_aliases](/rLZ7nua0T5yETALUIcXDqQ)

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