allow tensor in DiagonalNormal dimension #571
Merged
+13
−7
Conversation
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
Codecov Report✅ All modified and coverable lines are covered by tests.
|
Member
Author
|
I changed the batch shape now to that should cover now more use cases as the shape is inferred from the conditions, but the base shape is also considered. |
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Outdated suggestions cannot be applied.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.
This pull request updates the
DiagonalNormaldistribution implementation to support multi-dimensional (non-vector) distributions instead of being limited to vectors. The main changes involve replacing the singledimattribute with a tupledims, and updating all relevant logic to handle arbitrary shapes.This is necessary if we pass not a vector but something else to inference networks like diffusion, flow matching etc.