Pete Florence

:1st_place_medal:

Hi @sunit1409, to start out, I would recommend not building the docker image, but just getting our provided docker image from dockerhub: https://hub.docker.com/r/robotlocomotion/labelfusion/

Did you install nvidia-docker1, or nvidia-docker2? It seems like you're getting OpenGL issues. nvidia-docker2 needs a couple tricks to get OpenGL to work, we haven't added them to the instructions...

@manuelli @gizatt @weigao95 has anybody else seen this?

Yes that would work but first would like to ascertain if anybody else has this issue. I've done a lot of work with PyTorch in Docker before but haven't had...

Interesting! Greg what if you do it in a Docker container you've used with PyTorch? On Wed, Feb 13, 2019 at 7:39 PM Greg Izatt wrote: > Yeah, 64m here....

Yeah I tried that and for some reason it didn't work for me. I think maybe just the docker run string wasn't formatted correctly. I'll report back if I fix...

Thanks for checking. Yeah I think won’t be hard to switch to sharing all/more memory, like the command @patmarion mentioned I am curious to try to learn if this has...

Resolved by either passing `--ipc=host` or `--shm-size 8G` I did have the arg in the wrong spot in the `docker_run.py` string it builds up!

Looked at it with @manuelli this morning We might just want to add `--ipc=host` by default to `spartan`