[optim] Fix bug when default dtype is BF16#2286
Merged
Merged
Conversation
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/2286
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: ⏳ No Failures, 1 PendingAs of commit e658764 with merge base bc68b11 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
c87f106 to
e658764
Compare
Collaborator
Author
|
@msaroufim Can I get a stamp on this? Thank you! |
msaroufim
approved these changes
Jun 4, 2025
liangel-02
pushed a commit
that referenced
this pull request
Aug 25, 2025
* handle error when default dtype is BF16 * skip FP8 optim on unsupported GPUs
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
3 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Happened in #2235
When
torch.set_default_dtype(torch.bfloat16)is set,qmap = torch.tensor(...)becomes BF16. Hence, dequantizing the low-bit tensor subclass results in BF16, leading to dtype mismatch in Adam logic.