andrewor14 e5102ccd27 [quant][pt2] Support conv1d-bn QAT fusion (#113714) ... Summary: Previously the PT2 QAT code only supported conv2d-bn. This commit extends all existing QAT fusion support to conv1d-bn, including support for all variants like relu, no bias, literal args, cuda etc. This commit also refactors the code such that we can support conv3d-bn easily in the future. Test Plan: python test/test_quantization.py TestQuantizePT2EQAT_ConvBn1d Reviewers: jerryzh168, kimishpatel Subscribers: jerryzh168, kimishpatel, supriyar Differential Revision: [](https://our.internmc.facebook.com/intern/diff/) Differential Revision: [D51428979](https://our.internmc.facebook.com/intern/diff/D51428979) Pull Request resolved: https://github.com/pytorch/pytorch/pull/113714 Approved by: https://github.com/jerryzh168		2023-11-17 22:09:30 +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] Enable ruff's UP rules and autoformat test/ (#105434)	2023-07-19 20:36:06 +00:00
core	Relax constraints on test_cast_round_trip (#113872)	2023-11-16 19:52:05 +00:00
eager	[pytorch][ao] Add torch.matmul in FloatFunctional/QFunctional (#106831)	2023-08-10 22:43:36 +00:00
fx	Back out "Enable pickling model prepared with QAT qconfig" (#110392)	2023-10-05 14:41:00 +00:00
jit	Revert "Remove deprecated fbgemm operators (#104535)"	2023-10-25 16:34:16 +00:00
pt2e	[quant][pt2] Support conv1d-bn QAT fusion (#113714)	2023-11-17 22:09:30 +00:00
serialized	[ao] fix incorrect integer cast on histogram observer bounds (#90355)	2022-12-12 20:30:44 +00:00
__init__.py	remediation of S205607	2020-07-17 17:19:47 -07:00