Skip to content
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

About the possibility to run on GeForce 3090 cards #14

Closed
momo1986 opened this issue Jan 26, 2021 · 1 comment
Closed

About the possibility to run on GeForce 3090 cards #14

momo1986 opened this issue Jan 26, 2021 · 1 comment

Comments

@momo1986
Copy link

Dear RealSafe team of thu-ml lab,

The realsafe code is in tensorflow version with 1.15.4, this means the CUDA version should be <=10.1.

In GeForce 3090 GPU infrasturctue environment, normally, the CUDA version should >= 11.1.

Do you have any tips to run on new GPU server, or do you recommend to run ares on 2080Ti or other older server?

Thanks & Regards!
Momo

@Fugoes
Copy link
Collaborator

Fugoes commented Jan 27, 2021

It should be possible to run ARES using tensorflow 2's v1 API. You could use tensorflow's official tool to convert ARES's code from v1 to v2. However, some models are provided in tensorflow v1. We settle on tensorflow v1.15 for now.

@Fugoes Fugoes closed this as completed Jan 27, 2021
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

No branches or pull requests

2 participants