[MPS] Add lerp implementation #105470
Closed
[MPS] Add lerp implementation #105470
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
lerp.Scalar fits very well into binary op template Add a very naive implementation for lerp.Tensor Enable `lerp` testing in `test_mps`
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/105470
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit d47b05d: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
albanD
reviewed
Jul 18, 2023
albanD
approved these changes
Jul 18, 2023
|
@pytorchbot merge -f "Lint + MPS is green" |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Outdated suggestions cannot be applied.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.
lerp.Scalar fits very well into binary op template
Add a very naive implementation for
lerp.Tensorasadd_out(self, weights.mul(end.sub(self)))Enable
lerptesting intest_mpsFixes #105382