Jerry Zhang 41e2189843 [quant] Remove reference representation rewrite for adaptive_avg_pool2d (#108924) ... Summary: integer adaptive_avg_pool2d is not well defined due to different possible ways of rounding fp32 value to integer value, and this op isn't too critical for numerics (since it appears not too often), so we'll skip this for now. we might need to revert the changes that adds integer impl for adaptive_avg_pool op as well Test Plan: python test/test_quantization.py TestQuantizePT2ERepresentation Reviewers: Subscribers: Tasks: Tags: Pull Request resolved: https://github.com/pytorch/pytorch/pull/108924 Approved by: https://github.com/kimishpatel		2023-09-14 10:18:36 +00:00
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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] Enable ruff's UP rules and autoformat test/ (#105434)	2023-07-19 20:36:06 +00:00
core	[Quant] Add int8 linear op impl for quantization PT2E with Inductor. input is an int8 CPU tensor; weight is an int8 MdkldnnCPU tensor. (#105818)	2023-08-27 08:13:12 +00:00
eager	[pytorch][ao] Add torch.matmul in FloatFunctional/QFunctional (#106831)	2023-08-10 22:43:36 +00:00
fx	Revert "[quant][pt2e] store scale/zero_point as tensor attributes to support serialization (#105894)"	2023-07-28 01:16:02 +00:00
jit	Reland: Remove remaining global set_default_dtype calls from tests (#108088)	2023-09-07 03:04:34 +00:00
pt2e	[quant] Remove reference representation rewrite for adaptive_avg_pool2d (#108924)	2023-09-14 10:18:36 +00:00
serialized	[ao] fix incorrect integer cast on histogram observer bounds (#90355)	2022-12-12 20:30:44 +00:00
__init__.py