CMLAB server 安裝 Anaconda 教學

df  -h  # 可以看目錄的掛載位置
cd /tmp2
mkdir khaos   # 改成你自己的使用者名稱
cd khaos

# 到anaconda官網 找最新版的script下載網址
curl -O https://repo.anaconda.com/archive/Anaconda3-2021.05-Linux-x86_64.sh

bash Anaconda3-2021.05-Linux-x86_64.sh
>>> [ENTER][ENTER][ENTER]
>>> yes
>>> /tmp2/khaos/anaconda3
>>> yes
source ~/.bashrc

Ref: https://www.digitalocean.com/community/tutorials/how-to-install-anaconda-on-ubuntu-18-04-quickstart

# 安裝 TensorFlow 2+cuda 的環境

conda create --name tf python=3.6 anaconda cudatoolkit cudnn tensorflow-gpu

或

conda env list

conda create --name py37withTF python=3.7 anaconda 

conda activate py37withTF 

nvidia-smi

conda install cudatoolkit=10.1

conda install cudnn=7.6

conda install tensorflow-gpu

測試：

python

import tensorflow as tf

tf.__version__

tf.config.list_physical_devices('GPU')

# tf.test.is_gpu_available()

# 安裝 pytorch+cuda 的環境

conda create --name th python=3.6 anaconda pytorch torchvision torchaudio cudatoolkit -c pytorch

或

conda env list
conda create --name py37withPyTorch python=3.7 anaconda 
conda activate py37withPyTorch

nvidia-smi
conda install pytorch torchvision torchaudio cudatoolkit=10.1 -c pytorch

測試：
python
import torch
torch.cuda.is_available()
torch.version.cuda
x = torch.rand(5, 3)
print(x)