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Summary:
Previous logic is problematic in handling skipping modules (None setting), this PR fixes it.

Test Plan:
pytest test/quantization/test_quant_api.py -k test_ao_per_module_config_skip

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Subscribers:

Tasks:

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Summary:
Previous logic is problematic in handling skipping modules (None setting),
this PR fixes it.

Test Plan:
pytest test/quantization/test_quant_api.py -k test_ao_per_module_config_skip

Reviewers:

Subscribers:

Tasks:

Tags:
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pytorch-bot bot commented Apr 26, 2025

πŸ”— Helpful Links

πŸ§ͺ See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/2135

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βœ… No Failures

As of commit 27eb72d with merge base 0810f57 (image):
πŸ’š Looks good so far! There are no failures yet. πŸ’š

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Apr 26, 2025
@jerryzh168 jerryzh168 requested a review from drisspg April 26, 2025 03:16
@jerryzh168 jerryzh168 added the topic: bug fix Use this tag for PRs that fix bugs label Apr 26, 2025
@jerryzh168 jerryzh168 merged commit f343336 into pytorch:main Apr 26, 2025
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liangel-02 pushed a commit that referenced this pull request Aug 25, 2025
* Fix AOPerModuleConfig bug in skipping quantizing modules

Summary:
Previous logic is problematic in handling skipping modules (None setting),
this PR fixes it.

Test Plan:
pytest test/quantization/test_quant_api.py -k test_ao_per_module_config_skip

Reviewers:

Subscribers:

Tasks:

Tags:

* add IntxWeightOnlyConfig to torchao.quantization
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3 participants