| auto eth0 | |
| iface ath0 inet dhcp | |
| hwaddress 00:01:02:03:04:05 |
| <?php | |
| if (strlen($node->title) < 140) { | |
| return $node->title; | |
| } | |
| return drupal_substr($node->title, 0, 100) . '...'; | |
| ?> |
| -----BEGIN PGP MESSAGE----- | |
| Version: GnuPG/MacGPG2 v2 | |
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| <?php | |
| function theme_service_links_build_link($variables) { | |
| $text = $variables['text']; | |
| $url = $variables['url']; | |
| $image = $variables['image']; | |
| $nodelink = $variables['nodelink']; | |
| $style = $variables['style']; | |
| $attributes = $variables['attributes']; | |
| if ($nodelink) { |
| #!/bin/bash | |
| # | |
| # Wait for the system load to hit a set level. Can be used in init | |
| # scripts to avoid insane load spikes. Use the return value to abort | |
| # starting processes if the load remains too high. | |
| # | |
| # wait_timeout.sh 4 || exit 0 | |
| # Default sleep interval in seconds. | |
| SLEEP=30 |
Building Tensorflow from source on Linux for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit.
Step 2. Install NVIDIA cuDNN:
| diff --git a/pwa.module b/pwa.module | |
| index a87172b..fe22fe9 100644 | |
| --- a/pwa.module | |
| +++ b/pwa.module | |
| @@ -27,7 +27,7 @@ function pwa_permission() { | |
| function pwa_menu() { | |
| $items = []; | |
| - $items['pwa/serviceworker.js'] = [ | |
| + $items['pwa/serviceworker/js'] = [ |