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| computers [2019/07/03 23:38] – [Backup1] mai | computers [2026/10/22 23:03] (current) – external edit 127.0.0.1 |
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| | Name of the computer | Brand | Operating System | Type of system (bits) | RAM (Go) | Processor | disk memory | hardware | used for | | | Name of the computer | Brand | Operating System | Type of system (bits) | RAM (Go) | Processor | disk memory | hardware | used for | |
| | PC-EQI05710 | Dell Latitude | Windows 7 | 32 | 8 | Intel Core i5-33220M | 214/300 | 2 USB3 ports | Poppy and kinect2 | | | PC-EQI05710 | Dell Latitude | Windows 7 | 32 | 8 | Intel Core i5-33220M | 214/300 | 2 USB3 ports | Poppy and kinect2 | |
| | [[ihsev laptop|ihsev]] | Dell Lattude E6410 | Ubuntu 14.04 LTS | 32 | | Intel Core i5 CPU M 520 | 158 | USB2 only | Nao | | | ihsev | Dell Lattude E6410 | Ubuntu 14.04 LTS | 32 | | Intel Core i5 CPU M 520 | 158 | USB2 only | Nao | |
| | [[greiner]] | Dell PowerEdge | Ubuntu | | 128 | 32 coeurs | 193G | server only. Has 2 [[https://www.nvidia.fr/data-center/tesla-k80/|GPU Nvidia Tesla K80]] | cuda, theano | | | [[computers#greiner|greiner]] | Dell PowerEdge | Ubuntu | | 128 | 32 coeurs | 193G | server only. Has 2 [[https://www.nvidia.fr/data-center/tesla-k80/|GPU Nvidia Tesla K80]] | cuda, theano | |
| | [[gazebo server|gazebo]] | | Ubuntu | 64 | 128 | 32 coeurs | 196G | server only | ROS | | | gazebo | | Ubuntu | 64 | 128 | 32 coeurs | 196G | server only | ROS | |
| | |
| ===== Servers ===== | ===== Servers ===== |
| | 1 93895 C python3 10863MiB | | | 1 93895 C python3 10863MiB | |
| +-----------------------------------------------------------------------------+ | +-----------------------------------------------------------------------------+ |
| | </code> |
| | |
| | Par défaut, Tensorflow alloue l'ensemble de la mémoire GPU au programme, même s'il n'en nécessite que 10%. |
| | Il existe une option permettant d'allouer seulement la mémoire GPU nécessaire. |
| | Il faut ajouter les lignes suivantes: |
| | <code> |
| | config = tf.ConfigProto() |
| | config.gpu_options.allow_growth = True |
| | sess = tf.Session(config=config) |
| | |
| </code> | </code> |
| |