[ao] Implemented InputWeightEqualization Detector observer insertion (#79962)
Summary: This adds the implementation for the InputWeightEqualization
detector. This includes both the implementation and the relavent test
cases. This detector is meant to be added to initialize a ModelReport
instance and it will keep track of the necessary statistics to decide if
for certain layers of interest (linear and conv for now), it makes sense
to use input weight equalization and gives the suggestion to the user.
This implements the functionality of adding observer points for the
input-weight equalization detector and contains the relavent tests for
this functionality. The full Detector functionality will be fleshed out
in a later commit.
Test Plan: python test/test_quantization.py TestFxDetectInputWeightEqualization
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/79962
Approved by: https://github.com/HDCharles, https://github.com/andrewor14
