Skip to content

Conversation

@xvdp
Copy link

@xvdp xvdp commented Oct 31, 2023

1/ CUDA
In my system running cudatoolkit 11.8 over NVIDIA-SMI 525.116.04 Driver Version: 525.116.04 CUDA Version: 12.0
I found some errors during training fixable by blocking CUDA asynchronous operations - a bit slower but more robust.
2/ network_gui on interrupted processes listener blocks resources, added linstener.close() and conn.close() on the try except training loop.

Both these could be fixed better.
The first would entail debugging why CUDA is barfing on async ops, I dunno.
The second is easier, network_gui could be a class with enter exit that always frees resources.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant