pytorch

39605a56 - [ao] Removing memoryless observer args for MovingAverage (#73947)

[ao] Removing memoryless observer args for MovingAverage (#73947) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/73947 The original implementation of memoryless observers used MinMaxObservers and a memoryless argument to manipulate the behavior of the observer such that it wouldn't keep track of previously observed min and max's. It was later pointed out that this was equivalent to a movingaverageobserver with averaging_constant=1 which is requires less overhead and no 1 off args (memoryless) so this PR refactors the memoryless arg and uses MovingAverage observers instead, although the memoryless adjective is still used, a complete definintion was also added to clarify error messages given these changes. TestPlan python test/test_quantization.py TestQuantizeEagerQAT python test/test_quantization.py TestObserver Test Plan: Imported from OSS Reviewed By: andrewor14 Differential Revision: D34732080 Pulled By: HDCharles fbshipit-source-id: 227a1ab29d18adae55093a684ea35ac34523d07a (cherry picked from commit 5238e70e8f90f3219c36f9c64b647951dcf64b5a)