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Run carla on Nvidia Tesla GPU #1290
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
Our colleagues have had success running CARLA 0.9.5 on a Tesla V100, the successor to the Tesla P100, using the CARLA Docker image provided by the CARLA team running via Singularity. AFAIK, no GRID driver is needed in Linux when not running inside a VM. As a sanity check, this is how you would run it via Singularity, nvidia-docker will likely work as well (especially since the images were written specifically for Docker)
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I was getting a similar error on one of our systems, not sure what fixed it... either a system restart or a CUDA process no longer sharing the same GPU as CARLA (UE4). CARLA (0.9.5 at least) is hardwired, it seems, to use GPU 0, so verify that there is no other CUDA job (Type C) running on GPU 0 with Also, make sure Singularity is up-to-date, outdated versions seem to develop strange issues. I suspect that the following might have more than one cause given the amount of results from Googling it:
For example: #1494 |
@qhaas Thank you. |
@qhaas |
We haven't figured out a way to select a specific GPU in Singularity or outside containers without root or SLURM... there is a sub-discussion about how to select a GPU other than GPU 0 in #225 We use Singularity to run CARLA's Docker image because we don't have root access to the system with the V100s installed and to avoid dependency hell. |
@qhaas Thank you very much. |
@qhaas Hi. Could you tell me your version of Opengl which successfully run Carla? Thank you. |
Tested with CARLA 0.9.6 (compiled version from the vendor), CentOS 7.7, was able to run it on the host system and inside the container.
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We want to install carla on a server with NVIDIA Tesla P100. Has anyone ever succeeded? Do we need to install Grid Driver or other driver? And what are the legal driver versions?
It would be great if there was a tutorial for installing carla on P100.
Thank you very much.
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