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

Batched Linalg beyond matmul #1320

Open
mrfh92 opened this issue Jan 10, 2024 · 0 comments
Open

Batched Linalg beyond matmul #1320

mrfh92 opened this issue Jan 10, 2024 · 0 comments
Labels
enhancement New feature or request linalg

Comments

@mrfh92
Copy link
Collaborator

mrfh92 commented Jan 10, 2024

See #1104 for the general problem/the idea of batched linear algebra (focussing on the case of matmul for batches of matrices).

This issue is intended to do the same for further linear algebra routines: QR, Cholesky, Eigh and SVD.

Expected behaviour:

  • QR, Cholesky, Eigh and SVD for batches of Matrices as in PyTorch if DNDarray is split along one of the batch-dimensions
  • NotImplementedError if DNDarray is split along the linear algebra dimensions
  • For QR this needs to be integrated in existing routine, for the others this can be done stand-alone (i.e. in new files heat/core/linalg/svd.py etc.)
@mrfh92 mrfh92 added enhancement New feature or request linalg labels Jan 10, 2024
@mrfh92 mrfh92 changed the title Batched Cholesky and SVD Batched Linalg beyond matmul Jan 10, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request linalg
Projects
None yet
Development

No branches or pull requests

1 participant