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.

Sign up for GitHub

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

Jump to bottom

Return observations as JAX arrays for zero-copy transfer to torch on CPU/GPU #26

Open
amacati opened this issue Jan 30, 2025 · 0 comments
Open

Return observations as JAX arrays for zero-copy transfer to torch on CPU/GPU #26

amacati opened this issue Jan 30, 2025 · 0 comments

Comments

@amacati
Copy link
Collaborator

amacati commented Jan 30, 2025

The simulation script should use a JaxToNumpy wrapper. Everyone else can either directly use the buffers (learning with jax) or transfer them with zero-copy to pytorch using JaxToTorch
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@amacati