I am working on a git project that run tensorflow-gpu 1.15 inside a docker using GPU. So i checked the cuda compability with TF and found out that cuda 10.0 is necessary. However when i tried to install cuda 10.0 following the nvidia documentation , i get issues with nvidia drivers dependency:
Les paquets suivants contiennent des dépendances non satisfaites :
cuda-10-0 : Dépend: cuda-runtime-10-0 (>= 10.0.130) mais ne sera pas installé
Dépend: cuda-demo-suite-10-0 (>= 10.0.130) mais ne sera pas installé
E: Impossible de corriger les problèmes, des paquets défectueux sont en mode « garder en l’état ».
The command ubuntu-drivers devices return :
WARNING:root:_pkg_get_support nvidia-driver-510: package has invalid Support PBheader, cannot determine support level
== /sys/devices/pci0000:00/0000:00:01.0/0000:01:00.0 ==
modalias : pci:v000010DEd00001F95sv00001462sd000012BDbc03sc02i00
vendor : NVIDIA Corporation
driver : nvidia-driver-510 - third-party non-free recommended
driver : nvidia-driver-450-server - distro non-free
driver : nvidia-driver-470 - third-party non-free
driver : nvidia-driver-470-server - distro non-free
driver : xserver-xorg-video-nouveau - distro free builtin
== /sys/devices/pci0000:00/0000:00:14.3 ==
modalias : pci:v00008086d000006F0sv00008086sd00000074bc02sc80i00
vendor : Intel Corporation
manual_install: True
driver : backport-iwlwifi-dkms - distro free
I have ubuntu 18.04 and a GeForce GTX 1650
Is it possible to run cuda 10.0 with ubuntu 18.04 ?