This guide will show you how to use Intel graphics for rendering display and NVIDIA graphics for CUDA computing on Ubuntu 18.04 desktop.
I made this work on an ordinary gaming PC with two graphics devices, an Intel UHD Graphics 630 plus an NVIDIA GeForce GTX 1080 Ti.
Both of them can be shown via lspci | grep VGA.
00:02.0 VGA compatible controller: Intel Corporation Device 3e92
01:00.0 VGA compatible controller: NVIDIA Corporation GP102 [GeForce GTX 1080 Ti] (rev a1)
| def mmul(*tensors): | |
| return tf.foldl(tf.matmul, tensors) | |
| def msym(X): | |
| return (X + tf.matrix_transpose(X)) / 2 | |
| def mdiag(X): | |
| return tf.matrix_diag(tf.matrix_diag_part(X)) | |
| @tf.RegisterGradient('Svd') |
| #!/bin/bash | |
| ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04 | |
| ### steps #### | |
| # verify the system has a cuda-capable gpu | |
| # download and install the nvidia cuda toolkit and cudnn | |
| # setup environmental variables | |
| # verify the installation | |
| ### |