[ao] Added framework for ModelReport Outlier Detector #80743
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Summary: This adds the class framework for the ModelReport OutlierDetector. This detector will be in charge of looking at activation data and figuring out whether there are significant oultiers present in them. It will average this data across batches to make a recommendation / warning if significant outliers are found. This commit contains just the class framework and a base test class. Implementations will follow in following commits. Test Plan: python test/test_quantization.py TestFxDetectOutliers Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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Summary: This adds the class framework for the ModelReport OutlierDetector. This detector will be in charge of looking at activation data and figuring out whether there are significant oultiers present in them. It will average this data across batches to make a recommendation / warning if significant outliers are found. This commit contains just the class framework and a base test class. Implementations will follow in following commits. Test Plan: python test/test_quantization.py TestFxDetectOutliers Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: ba42965 Pull Request resolved: #80743
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Summary: This adds the class framework for the ModelReport OutlierDetector. This detector will be in charge of looking at activation data and figuring out whether there are significant oultiers present in them. It will average this data across batches to make a recommendation / warning if significant outliers are found. This commit contains just the class framework and a base test class. Implementations will follow in following commits. Pull Request resolved: #80743 Approved by: https://github.com/HDCharles Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/e5162dcfa723c50a09da3bba2ee98f6c1e73fd83 Test plan from GitHub: python test/test_quantization.py TestFxDetectOutliers Reviewed By: b0noI Differential Revision: D37578942 Pulled By: vspenubarthi fbshipit-source-id: a027a2faf3ffc2a3729d4076f432395cc11be3ce
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Stack from ghstack (oldest at bottom):
Summary: This adds the class framework for the ModelReport
OutlierDetector. This detector will be in charge of looking at
activation data and figuring out whether there are significant oultiers
present in them. It will average this data across batches to make a
recommendation / warning if significant outliers are found.
This commit contains just the class framework and a base test class.
Implementations will follow in following commits.
Test Plan: python test/test_quantization.py TestFxDetectOutliers
Reviewers:
Subscribers:
Tasks:
Tags: