Last active
September 26, 2017 23:33
-
-
Save perryism/87e382cbc9d6ef0e73ba247bd99a1f0c to your computer and use it in GitHub Desktop.
Use TensorFlow with GPU support
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# https://www.tensorflow.org/install/install_linux | |
# https://developer.nvidia.com/cuda-downloads | |
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb -qO cuda.deb | |
sudo dpkg -i cuda.deb | |
sudo apt-get update | |
sudo apt-get install -y python-pip python-dev build-essential libcupti-dev cuda | |
sudo pip install -U pip | |
sudo echo export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64" >> ~/.profile | |
sudo echo export CUDA_HOME=/usr/local/cuda >> ~/.profile | |
source ~/.profile | |
# download the cudnn driver from nvida website | |
# https://developer.nvidia.com/rdp/cudnn-download | |
sudo cp -r cuda/include/* $CUDA_HOME/include/ | |
sudo cp -r cuda/lib64/* $CUDA_HOME/lib64/ | |
sudo pip install tensorflow-gpu | |
# | |
python -c "import tensorflow" |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment