Ubuntu setting (Ubuntu20.04)_210716v

Chrome install

• save the file >> install

hangul

1. fctix install

• $ sudo apt-get install fcitx-hangul

2. ibus

• $ sudo apt install ibus-hangul # reboot 해줘야 뜸
• $ ibus-setup # settings

Document

• $ touch ~/Templates/Document

~/.bashrc

alias eb="sudo gedit ~/.bashrc"
alias sb="source ~/.bashrc"
alias up="sudo apt update && sudo apt upgrade"

NVIDIA Driver

참고

$ ubuntu-drivers devices
$ sudo apt install nvidia-driver-460
$ nvidia-smi # install check
$ sudo rm -rf /usr/local/cuda* #기존 cuda remove

CUDA

• install

$ wget https://developer.download.nvidia.com/compute/cuda/11.2.0/local_installers/cuda_11.2.0_460.27.04_linux.run
$ sudo sh cuda_11.2.0_460.27.04_linux.run

• continue
• accept
• driver 제외 후 install

-$ sudo gedit ~/.bashrc # 설정

# cuda link
export PATH=$PATH:/usr/local/cuda-11.2/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.2/lib64
export CUDADIR=/usr/local/cuda-11.2

# alias
alias eb='sudo gedit ~/.bashrc'
alias sb='source ~/.bashrc'

Cudnn

• install
• library for Linux[x86_64]로 다운로드

• Download folder

$ tar xvzf cudnn-11.2-linux-x64-v8.1.0.77.tgz
$ sudo cp cuda/include/cudnn* /usr/local/cuda/include
$ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/includ/cudnn.h /usr/local/cuda/lib64/libcudnn*
$ sudo chmod a+r cudnn.h /usr/local/cuda/lib64/libcudnn*

• linking

sudo ln -sf /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.2.0 /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
sudo ln -sf /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.2.0  /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
sudo ln -sf /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.2.0  /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
sudo ln -sf /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.2.0  /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
sudo ln -sf /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.2.0  /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
sudo ln -sf /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.2.0 /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
sudo ln -sf /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn.so.8.2.0  /usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn.so.8
sudo ldconfig
ldconfig -N -v $(sed's/://'<<<$LD_LIBRARY_PATH)2>/dev/null|grep libcudnn

설치

sudo apt install build-essential # 개발에 필요한 툴