[ao] Added framework for ModelReport Outlier Detector (#80743)
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
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/80743
Approved by: https://github.com/HDCharles
