fix layer_norm decomp precision for cpu #140557
Closed
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
[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/140557
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ✅ You can merge normally! (2 Unrelated Failures)As of commit f17cb34 with merge base e6c5a77 ( BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
github-actions
bot
requested review from
SherlockNoMad,
albanD,
antoniojkim,
ezyang and
miladm
ezyang
approved these changes
Nov 14, 2024
|
Gentle ping: could we land this by itself? I have a usecase that depends on it. Thanks! |
|
@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
pobin6
pushed a commit
to pobin6/pytorch
that referenced
this pull request
Dec 5, 2024
xref: https://fb.workplace.com/groups/1075192433118967/posts/1540519826586223/?comment_id=1543752356262970&reply_comment_id=1544425069529032 the issue is that our decomp needs to branch on device (it only upcasts for cpu), but the device shows up as "meta" because it is registered as a meta tensor rule. Pull Request resolved: pytorch#140557 Approved by: https://github.com/ezyang
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
4 participants
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Outdated suggestions cannot be applied.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.
xref: https://fb.workplace.com/groups/1075192433118967/posts/1540519826586223/?comment_id=1543752356262970&reply_comment_id=1544425069529032
the issue is that our decomp needs to branch on device (it only upcasts for cpu), but the device shows up as "meta" because it is registered as a meta tensor rule.
Stack from ghstack (oldest at bottom):