# Ubuntu 20.04 for Deep Learning

In the name of God

This gist contains steps to setup `Ubuntu 20.04` for deep learning.

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**Install Ubuntu 20.04**:

- Computer name: Name-PC
- Name: Name
- User name: name
- Password: ********

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**Update Ubuntu**:

```sh
$ sudo apt update
$ sudo apt full-upgrade --yes
$ sudo apt autoremove --yes
$ sudo apt autoclean --yes
$ reboot
```

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**Create Update Script**:

- Create a file (`~/full-update.sh`) with the following lines:

```sh
#!/bin/bash

if [ "$EUID" -ne 0 ]
  then echo "Error: Please run as root."
  exit
fi

clear

echo "################################################################################"
echo "Updating list of available packages..."
echo "--------------------------------------------------------------------------------"
apt update
echo "################################################################################"
echo

echo "################################################################################"
echo "Upgrading the system by removing/installing/upgrading packages..."
echo "--------------------------------------------------------------------------------"
apt full-upgrade --yes
echo "################################################################################"
echo

echo "################################################################################"
echo "Removing automatically all unused packages..."
echo "--------------------------------------------------------------------------------"
apt autoremove --yes
echo "################################################################################"
echo

echo "################################################################################"
echo "Clearing out the local repository of retrieved package files..."
echo "--------------------------------------------------------------------------------"
apt autoclean --yes
echo "################################################################################"
echo
```

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**Change Settings**:

- Review Ubuntu Settings

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**Change Software & Updates**:

- Review Ubuntu Software & Updates

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**Update Ubuntu**:

- `$ sudo ~/full-update.sh`

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**Install Chrome** (https://www.google.com/chrome):

 -  `$ sudo dpkg -i google-chrome-stable_current_amd64.deb`

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**Install Development Tools**:

 - `$ sudo apt install build-essential pkg-config cmake cmake-qt-gui ninja-build valgrind`

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**Install MinGW Tools**:

```sh
$ sudo apt install mingw-w64 mingw-w64-tools
$ sudo apt install binutils-mingw-w64

$ sudo update-alternatives --set i686-w64-mingw32-gcc /usr/bin/i686-w64-mingw32-gcc-posix
$ sudo update-alternatives --set i686-w64-mingw32-g++ /usr/bin/i686-w64-mingw32-g++-posix
 
$ sudo update-alternatives --set x86_64-w64-mingw32-gcc /usr/bin/x86_64-w64-mingw32-gcc-posix
$ sudo update-alternatives --set x86_64-w64-mingw32-g++ /usr/bin/x86_64-w64-mingw32-g++-posix
```

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**Install ARM Tools**:

```sh
$ sudo apt install crossbuild-essential-armel crossbuild-essential-armhf crossbuild-essential-arm64
$ sudo apt install binutils-multiarch binutils-arm-none-eabi binutils-arm-linux-gnueabi binutils-arm-linux-gnueabihf binutils-aarch64-linux-gnu
```

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**Install Git**:

```sh
$ sudo apt install git
$ git config --global user.name "Name"
$ git config --global user.email "name@domain.com"
$ git config --global core.editor "gedit -s"
```
- Copy your own SSH keys to `~/.ssh`

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**Install Python 3**:

- `$ sudo apt install python3 python3-wheel python3-pip python3-venv python3-dev python3-setuptools`

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**Install NVIDIA Drivers for Deep Learning**:

- https://www.tensorflow.org/install/gpu
- Check Hardware:
	- `$ sudo lshw -C display`
- Install NVIDIA GPU Driver:
	- Software & Updates > Additional Drivers > NVIDIA
- Install CUDA Toolkit (CUDA 11.0):
	- https://developer.nvidia.com/cuda-toolkit-archive
	1. Install prerequisites:
		- `$ sudo apt install linux-headers-$(uname -r)`
	2. Install `cuda_11.0.3_450.51.06_linux.run` (without Driver, use --override if gcc version not supported)
	3. Set up the development environment by modifying the PATH and LD_LIBRARY_PATH variables (`~/.bashrc`):
		- `export PATH=$PATH:/usr/local/cuda-11.0/bin`
		- `export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/extras/CUPTI/lib64`
	4. Check that GPUs are visible using the command:
		- `$ nvidia-smi`
- Install cuDNN v8.0.5, for CUDA 11.0:
	- https://developer.nvidia.com/cudnn
	- https://developer.nvidia.com/rdp/cudnn-archive
	- `$ sudo dpkg -i libcudnn8_8.0.5.39-1+cuda11.0_amd64.deb`
	- `$ sudo dpkg -i libcudnn8-dev_8.0.5.39-1+cuda11.0_amd64.deb`
	- `$ sudo dpkg -i libcudnn8-samples_8.0.5.39-1+cuda11.0_amd64.deb # Optional`
- Reboot

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**Machine Learning Environment**:

```sh
$ python3 -m venv ~/venv/ml
$ source ~/venv/ml/bin/activate
$ (ml) pip install --upgrade wheel pip
$ (ml) pip install --upgrade numpy scipy matplotlib ipython jupyter pandas sympy nose
$ (ml) pip install --upgrade scikit-learn scikit-image
$ (ml) deactivate
```

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**Deep Learning Environment (CPU)**:

- https://www.tensorflow.org/install

```sh
$ python3 -m venv ~/venv/dlcpu
$ source ~/venv/dlcpu/bin/activate
$ (dlcpu) pip install --upgrade wheel pip
$ (dlcpu) pip install --upgrade opencv-python opencv-contrib-python
$ (dlcpu) pip install --upgrade tensorflow tensorboard keras
$ (dlcpu) deactivate
```

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**Deep Learning Environment (GPU)**:

- https://www.tensorflow.org/install/gpu

```sh
$ python3 -m venv ~/venv/dlgpu
$ source ~/venv/dlgpu/bin/activate
$ (dlgpu) pip install --upgrade wheel pip
$ (dlgpu) pip install --upgrade opencv-python opencv-contrib-python
$ (dlgpu) pip install --upgrade tensorflow-gpu tensorboard keras
$ (dlgpu) deactivate
```

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**Check GPU Support by Tensorflow**:

```sh
$ source ~/venv/dlgpu/bin/activate
$ python
>>> from tensorflow.python.client import device_lib
>>> device_lib.list_local_devices()
>>> exit()
```

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**Install Qt**:

- https://www.qt.io/
- `$ sudo apt install build-essential libgl1-mesa-dev`
- For Android Java 8 required.
	- `$ sudo apt install openjdk-8-jre openjdk-8-jdk`
	- Install Android SDK & Android Studio
- https://doc.qt.io/qt-6/linux.html

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**Install PyCharm**:

- https://www.jetbrains.com/pycharm/

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**Enable GPU support for PyCharm Projects**:

- Edit Configurations...
- Environment variables:
	- `PATH=$PATH:/usr/local/cuda-11.0/bin`
	- `LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/extras/CUPTI/lib64`

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**Install Docker Engine**:

- https://docs.docker.com/engine/install/ubuntu/

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**Install Additional Tools**:

```sh
$ sudo apt install ubuntu-restricted-extras
$ sudo apt install virtualbox virtualbox-dkms virtualbox-ext-pack virtualbox-guest-additions-iso
$ sudo apt install curl wget uget unzip tar rar unrar
$ sudo apt install gimp
$ sudo apt install kdiff3
```

- Ubuntu Software > System Load Indicator

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**Install Additional Fonts**:

- `$ mkdir ~/.fonts`
- Copy fonts to `~/.fonts`