[ao] Added constant channel check to Outlier Detector (#81249)
Summary: The current Outlier detector does a good job of finding whether
data distributions passing through layers have outliers. However,
suppose we have a completely constant channel. The outlier detector
would not detect it as an outlier, but that is still something we want
to highlight because a constant channel usually is a result of a bad
configuration or something really wrong with the data.
To address this there are two additions to the outlier detector that
this commit makes:
- The first is to add whether there are any constant batches at all and
let the user know in the text report
- The second is to let the user know the number of total constant
batches found for each channel, so they can figure out if there are any
unnecessary channels present.
The exisiting outlier detector tests were modified to do a quick check
for this feature.
Test Plan: python test/test_quantization.py TestFxDetectOutliers
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/81249
Approved by: https://github.com/andrewor14
