Install tensorflow GPU miscellaneous

Use pip Add... At the back -i Parameters , Appoint pip Download source
pip install numpy -i https://pypi.tuna.tsinghua.edu.cn/simple

cuda8.0 install
1） Run command at terminal sudo sh cuda_8.0.27_linux.run
choice
Do you accept the previously read EULA?
accept/decline/quit: accept
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 361.62?
(y)es/(n)o/(q)uit: n
Install the CUDA 8.0 Toolkit?
(y)es/(n)o/(q)uit: y
Enter Toolkit Location
[ default is /usr/local/cuda-8.0 ]:
Do you want to install a symbolic link at /usr/local/cuda?
(y)es/(n)o/(q)uit: y
Install the CUDA 8.0 Samples?
(y)es/(n)o/(q)uit: y
Enter CUDA Samples Location
[ default is /home/zhou ]:
Installing the CUDA Toolkit in /usr/local/cuda-8.0 …
Missing recommended library: libGLU.so
Missing recommended library: libX11.so
Missing recommended library: libXi.so
Missing recommended library: libXmu.so
Installing the CUDA Samples in /home/zhou …
Copying samples to /home/zhou/NVIDIA_CUDA-8.0_Samples now…

Finished copying samples.

= Summary =

Driver: Not Selected
Toolkit: Installed in /usr/local/cuda-8.0
Samples: Installed in /home/zhou, but missing recommended libraries
Please make sure that
- PATH includes /usr/local/cuda-8.0/bin
- LD_LIBRARY_PATH includes /usr/local/cuda-8.0/lib64, or, add /usr/local/cuda-8.0/lib64 to /etc/ld.so.conf and run ldconfig as root
To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-8.0/bin
Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-8.0/doc/pdf for detailed information on setting up CUDA.
***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 361.00 is required for CUDA 8.0 functionality to work.
To install the driver using this installer, run the following command, replacing with the name of this run file:
sudo .run -silent -driver
Logfile is /tmp/cuda_install_2961.log
installation is complete , But some libraries are missing .
2) Install missing Libraries
sudo apt-get upgrade -y
sudo apt-get update
sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev -y

Be careful ： In this step, if you encounter a problem like this ：
unity-control-center : rely on : libcheese-gtk23 (>= 3.4.0) But it will not be installed
rely on : libcheese7 (>= 3.0.1) But it will not be installed
E: error ,pkgProblemResolver::Resolve failure , This may be because some software packages are required to maintain the status quo .
Solution ：
Install one first aptitude, I.e. input... At the terminal ：
sudo apt-get install aptitude
After installation , Use this tool to install qt-sdk You can use . I.e. input... At the terminal ：
sudo aptitude install qt-sdk
Later bash install-deps;

3) Set the environment variable
Enter these two sentences at the terminal ：
export PATH=/usr/local/cuda-8.0/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH

if you are installing cuda-7.5
Please make sure that
- PATH includes /usr/local/cuda-7.5/bin
- LD_LIBRARY_PATH includes /usr/local/cuda-7.5/lib64,
export PATH=/usr/local/cuda-7.5/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH
add /usr/local/cuda-7.5/lib64 to /etc/ld.so.conf
ldconfig

Then modify the environment variable settings in the file
sudo gedit /etc/profile
Type in the above export Two sentences
export PATH=/usr/local/cuda-8.0/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
preservation , sign out .
sudo ldconfig // Environment variables take effect immediately
4) Verify that the installation is complete
nvidia-smi
Show ：
nvcc –version
Show ：
nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2016
NVIDIA Corporation Built on Wed_May__4_21:01:56_CDT_2016 Cuda
compilation tools, release 8.0, V8.0.26

cuda test cudnn install

install annconda Can't find conda
You can choose to write the path with the command bashrc file ：
echo “export PATH=”~/anaconda2/bin:”$PATH ” >> ~/.bashrc
Use source ~/.bashrc（ perhaps . ~/.bashrc） You can immediately load the modified settings , Make it effective .

“libcudart.so.8.0 cannot open shared object file: No such file or directory”
The solution is to copy some files to /usr/local/lib Under the folder ：

Pay attention to yourself CUDA Version number of ！

sudo cp /usr/local/cuda-8.0/lib64/libcudart.so.8.0 /usr/local/lib/libcudart.so.8.0 && sudo ldconfig
sudo cp /usr/local/cuda-8.0/lib64/libcublas.so.8.0 /usr/local/lib/libcublas.so.8.0 && sudo ldconfig
sudo cp /usr/local/cuda-8.0/lib64/libcurand.so.8.0 /usr/local/lib/libcurand.so.8.0 && sudo ldconfig

resolvent ：sudo ldconfig /usr/local/cuda/lib64