Скачать или смотреть Install Tensorflow GPU on Ubuntu 16.04 LTS

Complete tutorial on how to install GPU version of Tensorflow on Ubuntu 16.04 LTS

Step - 1
ensure system is updated and has basic build tools
sudo apt-get update
sudo apt-get --assume-yes upgrade
sudo apt-get --assume-yes install tmux build-essential gcc g++ make binutils
sudo apt-get --assume-yes install software-properties-common


Step - 2
Install your nvidia graphics driver. Search for additional drivers in menu and open it. wait for minute and select nvidia driver and hit apply and restart.

Step - 3
Google cuda toolkit archive. Download cuda-8.0 .deb package and install it
sudo dpkg -i cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64.deb (this is the deb file you've downloaded)
sudo apt-get update
sudo apt-get install cuda

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}}

Step - 4
Download cudnn v5.1 and run following command
tar -xzvf cudnn-8.0-linux-x64-v5.1.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda/include
sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

Step - 5
Prepare TensorFlow dependencies
sudo apt-get install libcupti-dev

Step - 6
Download Python and then tensorflow gpu
bash Anaconda3-4.4.0-Linux-x86_64.sh
pip install tensorflow-gpu==1.2

Step - 7
Check gpu has been step properly or not
Download this git repo https://github.com/tensorflow/models and unzip it.
python models-master/tutorials/image/imagenet/classify_image.py
or
python models-master/tutorials/image/cifar10/cifar10_train.py