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

memory usage growth after a while #32

Open
babak-badnava opened this issue Aug 12, 2017 · 4 comments
Open

memory usage growth after a while #32

babak-badnava opened this issue Aug 12, 2017 · 4 comments

Comments

@babak-badnava
Copy link

I have tested the code on GTX 1080 with 32g Ram but when I run the code memory usage increases over time and after about 30 hours it will take all 32g of ram and make system to dies

@babak-badnava babak-badnava changed the title memory usage growth memory usage growth after a while Aug 12, 2017
@ifrosio
Copy link
Collaborator

ifrosio commented Aug 14, 2017

Hi, can you provide some more details? Are you using the basic version of the algorithm with Pong? Automatic scheduling enabled? How many agents / trainers / predictors? Is the number of agents / training / predictor growing during training or does it stabilize? Thanks

@babak-badnava
Copy link
Author

Hi, yes I do use the basic version with Breakout game and Dynamic setting is off and 32 agents running with 2 trainer threads and 2 predictor threads. all the settings are fixed during training but memory usage will growth. I think this may be because of tensorflow memory leak.

@ifrosio
Copy link
Collaborator

ifrosio commented Aug 15, 2017

Tensor flow version?

@babak-badnava
Copy link
Author

tensorflow version 1.2.1
installing from binary
cuda version 7.5

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