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

Request for 🐳 Dockerfile #88

Closed
SauravMaheshkar opened this issue Feb 28, 2022 · 0 comments
Closed

Request for 🐳 Dockerfile #88

SauravMaheshkar opened this issue Feb 28, 2022 · 0 comments

Comments

@SauravMaheshkar
Copy link

Hey folks, I just came across the repository and wanted to highlight a use-case. Getting JAX up and running with the proper CUDA and CUDNN versions can be a hassle and IMO Docker is the quickest workaround for easy onboarding and setup. It'd be much easier if there was a Dockerfile provided or even an Image on Docker-hub or the Github Container Registry (ghcr.io). That would make reproducibility and benchmarking much easier. At the moment, JAX is a bit spotty with their Docker configurations, but the tensorflow-gpu image works perfectly as a base and already contains many of the needed packages. Having a Dockerfile could also help in creating and writing slightly compute heavy examples with proper accelerator (GPU/TPU) setup.

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