Clean up JAX/NumPy boundary in matrix_factorization: use NumPy for#296
Merged
Conversation
398c9d8 to
c19a815
Compare
one-time setup/validation code, remove redundant @jax.jit annotations, and modernize type annotations (Optional → X | None, ArrayLike). PiperOrigin-RevId: 940042027
c19a815 to
4033457
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Clean up JAX/NumPy boundary in matrix_factorization: use NumPy for
one-time setup/validation code, remove redundant @jax.jit annotations,
and modernize type annotations (Optional → X | None, ArrayLike).