Augmenting Concrete Observer Constructors to Support Dynamic Quantization Range; Modifying Utility Functions in _LearnableFakeQuantize Module for Better Logging and Baseline Construction. (#41815)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/41815
**All are minor changes to enable better simulations.**
The constructors of MinMaxObserver, MovingAverageMinMaxObserver, PerChannelMinMaxObserver, and MovingAveragePerChannelMinMaxObserver are augmented so they can utilize the dynamic quantization range support in the _ObserverBase class.
In addition, minor adjustments are made to the enable_static_observation function that allow observer to update parameters but do not fake quantize on the output (for constructing baseline).
Test Plan:
To ensure this modification is still backward compatible with past usages, numerics are verified by running the quantization unit test suite, which contains various observer tests. The following command executes the test suite, which also verifies the observer numerics:
```
buck test //caffe2/test:quantization -- observer
```
Reviewed By: z-a-f
Differential Revision: D22649128
fbshipit-source-id: 32393b706f9b69579dc2f644fb4859924d1f3773
