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

minimum GPU memory / working conda env #14

Open
markhanslip opened this issue Apr 14, 2020 · 0 comments
Open

minimum GPU memory / working conda env #14

markhanslip opened this issue Apr 14, 2020 · 0 comments

Comments

@markhanslip
Copy link

Hi,

Thanks for the great implementation.

Can I ask what kind of GPU you trained it on and if you have an idea of minimum spec to run this model? I keep hitting memory errors but then I only have RTX 2070. I'm considering Titan RTX (24GB), do you think that would be enough? Would be sad to spend all that money and still not be able to use models like this!

Best wishes,

Mark

PS in case it helps anyone else - the only way I got this working with GPU in a Conda env was with:

conda create -n [envname] python=3.6
conda activate [envname]
conda install -c anaconda tensorflow-gpu==1.9
pip install keras==2.2.2
(and install scipy, mkl)

It seems that there are problems with conda-forge and anaconda versions of tensorflow-gpu==1.8, the above was the only thing that worked for me.

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

1 participant