Tensorflow 入門學習1 pip安裝
阿新 • • 發佈：2019-01-28
環境：Ubuntu
準備環境
apt-get 更換源
cd /etc/apt
sudo apt-get install vim
sudo vim sources.list
deb http://mirrors.ustc.edu.cn/ubuntu/ xenial main restricted universe multiverse deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-security main restricted universe multiverse deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-updates main restricted universe multiverse deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-proposed main restricted universe multiverse deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-backports main restricted universe multiverse deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial main restricted universe multiverse deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-security main restricted universe multiverse deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-updates main restricted universe multiverse deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-proposed main restricted universe multiverse deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-backports main restricted universe multiverse
sudo apt-get update
sudo apt-get upgrade
修改pip源:
mkdir ~/.pip
vi ~/.pip/pip.conf
[global]
trusted-host = pypi.douban.com
index-url = http://pypi.douban.com/simple
sudo apt-get install python-pip
sudo apt-get install python-numpy swig python-dev python-wheel
安裝Nvidia驅動
在系統設定->軟體更新->附加驅動->選擇nvidia最新驅動->應用更改
驗證：輸入命令：
nvidia-smi
顯示NVIDIA-SMI結果。
下載並安裝cuda8
sudo sh cuda_8.0.61_375.26_linux.run
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 375.26?
注意是否安裝顯示卡驅動選n。
安裝位置：/usr/local/cuda-8.0
sample：/home/admin1
修改環境配置
sudo vim ~/.bashrc
加上
export PATH=/usr/local/cuda-8.0/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
source ~/.bashrc
對gcc降版，降到5.3以下
gcc --version
sudo apt-get install gcc-4.8
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 100
接下來編譯測試cuda的sample
cd /usr/local/cuda/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery
正常的話會輸出顯示卡型號資訊。
下載安裝cuDNN
sudo dpkg -i cuda-repo-ubuntu1604-8-0-rc_8.0.27-1_amd64.deb
安裝 tensorflow
sudo apt-get install libcupti-dev
pip install tensorflow-gpu
**執行：**
sudo ldconfig /usr/local/cuda/lib64
或者
export CUDA_HOME=/usr/local/cuda
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
否則會提示libcublas.so.8.0:cannot open shared object file:No such file or directory
測試
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))