Kimish Patel ffc0c46092 [Quantization] Add metadata porting for nodes added by quantization (#107107) ... Summary: This diff adds adding metadata to q-dq nodes by inferring the quatization intent from node annotations. Annotations on the node are way for user to specify how a node or subgraph is supposed to be quantized. We continue to use that information to copy metadata on Q/DQ node from appropriate nodes. Test Plan: Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D48488416](https://our.internmc.facebook.com/intern/diff/D48488416) Pull Request resolved: https://github.com/pytorch/pytorch/pull/107107 Approved by: https://github.com/jerryzh168 ghstack dependencies: #107105, #107106, #107899, #107900		2023-09-02 06:38:14 +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	[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	[BE] Enable ruff's UP rules and autoformat test/ (#105434)	2023-07-19 20:36:06 +00:00
pt2e	[Quantization] Add metadata porting for nodes added by quantization (#107107)	2023-09-02 06:38:14 +00:00
serialized	[ao] fix incorrect integer cast on histogram observer bounds (#90355)	2022-12-12 20:30:44 +00:00
__init__.py