CUDA installation

Tensorflow 1.4 support CUDA 8.0 and CUDNN 6.0.

The latest version is CUDA 9.1 and CUDNN 7.0.

To avoid compatibility issue, we use lower version of CUDA.

Steps:

1) Goto: https://developer.nvidia.com/cuda-toolkit-archive

2) Select CUDA Toolkit 8.0 GA2

3) Download the files, and follow the instructions for installation.

1. `sudo dpkg -i cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64.deb`
2. `sudo apt-get update`
3. `sudo apt-get install cuda

4) Post installation setup:

- environment setup:

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}}

- testing CUDA:

Copy the samples in /usr/local/cuda-8.0/samples to ~/CUDA-8_samples

makefile

go to one of the folder: ~/NVIDIA_CUDA-8_Samples/5_Simulations/nbody

make

./nbody

5) Install cuDNN 6.0 for CUDA 8.0 (deep learning library)

https://developer.nvidia.com/rdp/cudnn-download (need to register and login)

Installation instruction:

PREREQUISITES CUDA 7.5 or higher version and a GPU of compute capability 3.0 or higher are required.

For Library:

Extract the cuDNN archive to a directory of your choice, referred to below as <installpath>. Then follow the platform-specific instructions as follows. cd <installpath>/lib export LD_LIBRARY_PATH=`pwd`:$LD_LIBRARY_PATH Add <installpath> to your build and link process by adding -I<installpath>/include to your compile line and -L<installpath>/lib -lcudnn to your link line.

For Deb:

SUPPORTED PLATFORMS Ubuntu 14.04, Ubuntu 16.04, POWER8 Then follow the platform-specific instructions as follows. 1. Install Runtime library sudo dpkg -i $(runtime library deb) 2. Install developer library sudo dpkg -i $(developer library deb) 3. Install code samples and user guide sudo dpkg -i $(document library deb)