#https://www.paddlepaddle.org.cn/
##GPU需要 cuda cudnn
#cuda  https://developer.nvidia.com/cuda-toolkit-archive
#cudnn https://developer.nvidia.com/rdp/cudnn-archive
#下载tar版安装
sudo cp cudnn-*-archive/include/cudnn*.h /usr/local/cuda/include 
sudo cp -P cudnn-*-archive/lib/libcudnn* /usr/local/cuda/lib64 
sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*
#conda
wget -c https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
sh Miniconda3-latest-Linux-x86_64.sh
cd /root/miniconda3/bin/
#创建环境
conda create -n paddle_env python=3.6
#查看存在的环境
conda env list
#激活环境
source activate paddle_env
#安装对应版本 paddlepaddle
conda install paddlepaddle-gpu==2.4.2 cudatoolkit=11.7 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
#关闭环境
conda deactivate

#验证
python3
import paddle
paddle.utils.run_check()