Supriya Rao cfd0f5ebc9 [quant] update per-channel observer min/max_val attribute names (#62345) ...

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/62345

This PR updates the attribute names from min_vals to min_val. the motivation for this is to keep the attribute name consistent with per-tensor observers so that dependencies (like FusedMovingAvgObsFakeQuantize) don't need to differentiate between the two observer types to access the attributes.

It also adds some BC tests to make sure that observers saved earlier with min_vals/max_vals can be loaded depending on the state_dict version.
Note: Scriptability of the observers isn't fully supported yet, so we aren't testing for that in this PR.

Test Plan:
python test/test_quantization.py TestSerialization

Imported from OSS

Reviewed By: HDCharles

Differential Revision: D30003700

fbshipit-source-id: 20e673f1bb15e2b209551b6b9d5f8f3be3f85c0a

2021-07-29 22:28:53 -07:00

811 B

Raw Permalink History

View Raw