pytorch/test/quantization
Jerry Zhang 9e0df2379b [quant][fix] Compare resnet with quantizer api with the prepare_fx and decomposed convert flow (#98905)
Summary:
Using a decomposed convert to make sure we get exact match, this means the nodes in resnet are
annotated correctly

Test Plan:
python test/test_quantization.py TestQuantizePT2EModels.test_resnet18_with_quantizer_api

Reviewers:

Subscribers:

Tasks:

Tags:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/98905
Approved by: https://github.com/andrewor14
2023-04-14 16:25:15 +00:00
..
ao_migration ao migration: remove package test as this behavior is tested by other things (#94422) 2023-02-13 16:33:40 +00:00
bc [BE] [3/3] Rewrite super() calls in test (#94592) 2023-02-12 22:20:53 +00:00
core pt2e short term quant: respect qmin/qmax for linear weight (#96232) 2023-03-10 04:46:20 +00:00
eager [BE] [3/3] Rewrite super() calls in test (#94592) 2023-02-12 22:20:53 +00:00
fx [quant][fix] Compare resnet with quantizer api with the prepare_fx and decomposed convert flow (#98905) 2023-04-14 16:25:15 +00:00
jit [BE] Move flatbuffer related python C bindings to script_init (#97476) 2023-03-28 17:56:32 +00:00
serialized [ao] fix incorrect integer cast on histogram observer bounds (#90355) 2022-12-12 20:30:44 +00:00
__init__.py