You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
The text was updated successfully, but these errors were encountered:
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 thetensorflow-gpu
image works perfectly as a base and already contains many of the needed packages. Having aDockerfile
could also help in creating and writing slightly compute heavy examples with proper accelerator (GPU/TPU) setup.The text was updated successfully, but these errors were encountered: