云端安装神经网络环境(cuda10.1&ppc64)

安装编译套件GCC（GNU Compiler Collection）

sudo apt install gcc

安装cuda 10.1

https://developer.nvidia.com/CUDA-toolkit-Archive

添加环境变量

sudo vim ~/.bashrc

文末添加

export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

source ~/.bashrc

sudo vim /etc/profile

export PATH=/usr/local/cuda/bin:$PATH

验证

cd /usr/local/cuda/samples
sudo make all -j4
cd /usr/local/cuda/samples/bin/ppc64le/linux/release
./deviceQuery

echo $PATH

多线程并行设置

sudo systemctl enable nvidia-persistenced

sudo ppc64

sudo nvidia-smi -ac 715,1480

SMT,Simultaneous Multithreading

ppc64_cpu --smt

sudo ppc64_cpu --smt=2

ppc64_cpu --smt=on

ppc64_cpu --info

cat /proc/cpuinfo

安装cudnn

https://developer.nvidia.com/rdp/cudnn-download

tar -xzvf cudnn-10.1-linux-ppc64le-v8.0.5.39.tgz
sudo cp cudnn*.h /usr/local/cuda/include
sudo cp libcudnn* /usr/local/cuda/lib64
sudo chmod a+r cudnn*.h /usr/local/cuda/lib64/libcudnn*

安装conda

wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-ppc64le.sh

bash Anaconda3-2020.11-Linux-ppc64le.sh

或：

sudo sh Anaconda3-2019.10-Linux-ppc64le.sh

sudo vim ~/.bashrc

export PATH=$PATH:/home/anaconda3/bin

source ~/.bashrc

conda --version

conda info --envs

conda env list

环境自动开启关闭设置

conda config --show | grep auto_activate_base

conda config --set auto_activate_base True

安装tensorflow

添加源

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
conda config --set show_channel_urls yes

添加本地源

conda index /data/localchannel/localChannel/

conda config --prepend channels file:///data/localchannel/localChannel/

conda config --show channels

conda create -n powerai_160 python=3.6

conda activate powerai_160

conda install powerai=1.6.0

（conda deactivate）

测试

python

import tensorflow

print(tensorflow.__version__)

print(tensorflow.__path__)

exit()

安装ide

sudo aptitude search spyder

sudo apt install spyder

可选：

conda install -c conda-forge spyder-kernels

升级

conda install -c anaconda cudatoolkit

conda install -c anaconda cudnn

查找包

conda list | grep package-name