How to install Tensorflow GPU with CUDA 9. How to install Tensorflow GPU with CUDA Toolkit 9. 2 for Python 3 on Bitcoin ubuntu 13 04 16.
STEP BY STEP INSTALLATION OF CUDA TOOLKIT 9. 1 GPU VERSION ON UBUNTU 16. This is going to be a tutorial on how to install tensorflow 1. We will also be installing CUDA Toolkit 9. 2 along with the GPU version of tensorflow 1. At the time of writing this blog post, the latest version of tensorflow is 1. This tutorial is for building tensorflow from source.
Tensorflow is an open source software library developed and used by Google that is fairly common among students, researchers, and developers for deep learning applications such as neural networks. It has both the CPU as well as GPU version available and although the CPU version works quite well, realistically, if you are going for deep learning, you will need GPU. There must be 64-bit python installed tensorflow does not work on 32-bit python installation. The x86_64 line indicates you are running on a 64-bit system which is supported by cuda 9. I highly recommend network installer to get updated gpu driver supported by your linux kernel. 1 Step 7: Reboot the system to load the NVIDIA drivers.
Check driver version probably Driver Version: 390. If you got nvidia-smi is not found then you have unsupported linux kernel installed. Comment your linux kernel version noted in step 5. 2 Code Samples and User Guide for Ubuntu16. To install these packages for Python 2. To install these packages for Python 3. Please specify the location of python.