ubuntu16.04 cuda cudnn tensorflow

一. Pip安裝：

$ sudo apt-get install python-pip python-dev   # for python  

$ sudo apt-get install python3-pip python3-dev # for python3

二.安裝英偉達顯卡驅動

1查看自身版本

lspci | grep -i vga
lspci | grep -i nvidia

或
去官網上查看適合你GPU的驅動
http://www.nvidia.com/Download/index.aspx?lang=en-us

2安裝

對ubuntu16 可通過 系統設置-軟件和更新-附加驅動 安裝

3

執行完上述後，重啓reboot

安裝完後再運行

nvidia-smi 來看看 如果出現了你的GPU列表，則說明驅動安裝成功了。 另外也可以通過，或者輸入nvidia-settings 查看

三.安裝cuda

https://developer.nvidia.com/cuda-downloads據其所說方式安裝

ubuntu的gcc編譯器是5.4.0，然而cuda8.0不支持5.0以上的編譯器，因此需要降級，把編譯器版本降到4.9：

在terminal中執行

sudo apt-get install gcc-4.9 gcc-5 g++-4.9 g++-5

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 20

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 10

sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 20

sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-5 10

sudo update-alternatives --install /usr/bin/cc cc /usr/bin/gcc 30

sudo update-alternatives --set cc /usr/bin/gcc

sudo update-alternatives --install /usr/bin/c++ c++ /usr/bin/g++ 30

sudo update-alternatives --set c++ /usr/bin/g++ 

配置cuda8.0之後主要加上的一個環境變量聲明，

gedit ~/.bashrc 

在文件~/.bashrc末尾加上

export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}

export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

    通過命令查看CUDA安裝是否成功

cd /usr/local/cuda-8.0/samples/1_Utilities/deviceQuery  
sudo make  
./deviceQuery 

四.cudnn

https://developer.nvidia.com/cudnn  tensorflow1.1 支持cudnnv5.1

下載完cudnn後

cd ~/Downloads/
tar zxvf cudnn-8.0-linux-x64-v5.1.tgz #解壓文件

# 複製頭文件和lib文件  
sudo cp include/cudnn.h /usr/local/cuda/include/  
sudo cp lib64/lib* /usr/local/cuda/lib64/  

# 進入文件夾
cd /usr/local/cuda/lib64/ 
sudo rm -rf libcudnn.so libcudnn.so.5    #刪除原有動態文件
# 然後修改文件權限，並創建新的軟連接
sudo chmod u=rwx,g=rx,o=rx libcudnn.so.5.1.10  #若這裏不修改權限會有如下錯誤
sudo ln -s libcudnn.so.5.1.5 libcudnn.so.5  #生成軟銜接
sudo ln -s libcudnn.so.5 libcudnn.so      #生成軟鏈接

# 錯誤
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: No module named rensorflow
>>> import tensorflow
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/yojiu/.local/lib/python2.7/site-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/home/yojiu/.local/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 51, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/home/yojiu/.local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 52, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/home/yojiu/.local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/yojiu/.local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/yojiu/.local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
ImportError: libcudnn.so.5: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

五.安裝tensorflow

直接配置URL在線 whl 進行安裝：

$ sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.1.0rc2-cp27-none-linux_x86_64.whl
                             #或其他網站鏡像