[executorch] Add TorchAO wrapper config to allow filter_fn for quantize_ #13386
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
Fixing tests for stack that got reverted: #13264 Changes: Support filter function in quantize_ function when using torchao quantize. Update unittests accordingly Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e. Source transform modifies model inplace, so deep copy first to avoid modifying user provided model. Differential Revision: [D80206543](https://our.internmc.facebook.com/intern/diff/D80206543/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13386
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 1 Pending, 5 Unrelated FailuresAs of commit c82c8bf with merge base 46dd51a ( NEW FAILURES - The following jobs have failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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. |
meta-cla
bot
added
the
CLA Signed
|
This pull request was exported from Phabricator. Differential Revision: D80206543 |
This PR needs a
|
… for quantize_" Fixing tests for stack that got reverted: #13264 Changes: Support filter function in quantize_ function when using torchao quantize. Update unittests accordingly Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e. Source transform modifies model inplace, so deep copy first to avoid modifying user provided model. Differential Revision: [D80206543](https://our.internmc.facebook.com/intern/diff/D80206543/) [ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D80206543 |
… for quantize_" Fixing tests for stack that got reverted: #13264 Changes: Support filter function in quantize_ function when using torchao quantize. Update unittests accordingly Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e. Source transform modifies model inplace, so deep copy first to avoid modifying user provided model. Differential Revision: [D80206543](https://our.internmc.facebook.com/intern/diff/D80206543/) [ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D80206543 |
… for quantize_" Fixing tests for stack that got reverted: #13264 Changes: Support filter function in quantize_ function when using torchao quantize. Update unittests accordingly Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e. Source transform modifies model inplace, so deep copy first to avoid modifying user provided model. Differential Revision: [D80206543](https://our.internmc.facebook.com/intern/diff/D80206543/) [ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D80206543 |
Gasoonjia
approved these changes
Aug 14, 2025
… for quantize_" Fixing tests for stack that got reverted: #13264 Changes: Support filter function in quantize_ function when using torchao quantize. Update unittests accordingly Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e. Source transform modifies model inplace, so deep copy first to avoid modifying user provided model. Differential Revision: [D80206543](https://our.internmc.facebook.com/intern/diff/D80206543/) [ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D80206543 |
… for quantize_" Fixing tests for stack that got reverted: #13264 Changes: Support filter function in quantize_ function when using torchao quantize. Update unittests accordingly Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e. Source transform modifies model inplace, so deep copy first to avoid modifying user provided model. Differential Revision: [D80206543](https://our.internmc.facebook.com/intern/diff/D80206543/) [ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D80206543 |
abhinaykukkadapu
merged commit 93e616d
into
gh/abhinaykukkadapu/6/base
97 of 106 checks passed
abhinaykukkadapu
temporarily deployed
to
cherry-pick-bot
GitHub Actions
Inactive
manuelcandales
pushed a commit
that referenced
this pull request
Aug 15, 2025
Fixing typo introduced in #[13386](#13386)
agrima1304
pushed a commit
to agrima1304/executorch
that referenced
this pull request
Aug 26, 2025
Fixing typo introduced in #[13386](pytorch#13386)
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.
Stack from ghstack (oldest at bottom):
Fixing tests for stack that got reverted: #13264
Changes:
Support filter function in quantize_ function when using torchao quantize.
Update unittests accordingly
Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e.
Source transform modifies model inplace, so deep copy first to avoid modifying user provided model.
Differential Revision: D80206543