New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Deeplearning4j cuda should detect which backend is run #5000

Closed
agibsonccc opened this Issue Apr 27, 2018 · 1 comment

Comments

Projects
None yet
3 participants
@agibsonccc
Copy link
Member

agibsonccc commented Apr 27, 2018

Issue Description

When cuda is on the class path and CPU_PRIORITY is high, cudnn throws a bunch of exceptions.
We should detect this and make sure we either warn the user or silently use the cpu.

Please describe our issue, along with:

  • expected behavior
  • encountered behavior

Version Information

Please indicate relevant versions, including, if relevant:

  • Deeplearning4j version
  • platform information (OS, etc)
  • CUDA version, if used
  • NVIDIA driver version, if in use

Contributing

If you'd like to help us fix the issue by contributing some code, but would
like guidance or help in doing so, please mention it!

@lock

This comment has been minimized.

Copy link

lock bot commented Sep 22, 2018

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.

@lock lock bot locked and limited conversation to collaborators Sep 22, 2018

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