Follow this guide from Nvidia
docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
1. Verify having CUDA-capable machine
$ lspci | grep -i nvidia
2. Check Linux version
uname -m && cat /etc/*release
3. Check gcc compiler
gcc --version
Install Cuda 10.1
Broken Package
cuDNN
Download files following :
developer.nvidia.com/rdp/cudnn-download
and follow this process
docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#installcuda
Download Library for cuDNN
Extract above file and copy to a kind of folder [1]
And if you just run deep-learning model, download runtime library. but, want to check proper operation, download developer library
if you contact 'libcudnn.so.8 is not symbolic link', following below
Ref
leesh0523.tistory.com/entry/NDIVIA-Driver-CUDA-cuDNN-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0
www.pyimagesearch.com/2019/01/30/ubuntu-18-04-install-tensorflow-and-keras-for-deep-learning/
'SW > Others' 카테고리의 다른 글
Multicast WiFi에 대해 알아보자. (0) | 2020.10.11 |
---|---|
git 받아 쓰는 입장에서 자주 사용하는 명령어 (0) | 2020.10.07 |
Pytorch_Tutorial : Neural Net (0) | 2020.09.20 |
Pytorch_Tutorial : Plus/Minus and transfer to/from numpy (0) | 2020.09.20 |
How to use Tensorflow on virtualenv and jupyter notebook (0) | 2020.08.07 |