[ao] Added generate report capability to ModelReport class
Summary: The ModelReport class in model_report.py combines the
functionality of the detectors and the ModelReportObserver. It creates
an end-to-end system where a user can pass in a prepared Graph Model to
insert the ModelReportObservers, then after the user callibrates their
model, the callibrated model can then be used by the ModelReport class
to generate reports based on what the user wished to gather information
on.
This contains the implementation and the tests for the generate_report
method which is used on a callibrated fx model to generate reports based
on data collected by the inserted observers during the callibration
phase and also potentially remove those observers if desired.
This also addresses and fixes a revert issue that has been fixed.
Test Plan: python test/test_quantization.py TestFxModelReportClass
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/80054
Approved by: https://github.com/HDCharles
