support qnn mean (dim=None) #14755
Merged
support qnn mean (dim=None) #14755
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
Summary: Address mean op lower failure. When dim is not specified, it will take mean across all axes. For QNN, we need to get axes based on input shape Differential Revision: D83520776 (cherry picked from commit 9ab5592)
This was referenced Oct 2, 2025
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14755
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 3 PendingAs of commit 8210ab6 with merge base e0dda90 ( NEW FAILURE - The following job has failed:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
meta-cla
bot
added
the
CLA Signed
GregoryComer
approved these changes
Oct 2, 2025
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Outdated suggestions cannot be applied.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.
Summary: Address mean op lower failure. When dim is not specified, it will take mean across all axes. For QNN, we need to get axes based on input shape
Differential Revision: D83520776