Jerry Zhang 1b51d29b66 [quant][pt2e] Enable constant folding for quantize ops (#109343) ... Summary: This PR added constant folding for quantize ops so that instead of storing fp32 weight in the quantized model, we'll get int8/int16 etc. weight Test Plan: python test/test_quantization.py TestQuantizePT2E.test_fold_quantize also will verify in executorch later Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D49399210](https://our.internmc.facebook.com/intern/diff/D49399210) Pull Request resolved: https://github.com/pytorch/pytorch/pull/109343 Approved by: https://github.com/kimishpatel, https://github.com/jgong5		2023-09-27 06:04:45 +00:00
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nn	[BE]: Update ruff to 0.285 (#107519)	2023-08-22 23:16:38 +00:00
ns	[BE]: Update Ruff to 0.0.280 (#105724)	2023-07-22 23:03:34 +00:00
pruning	add pruning method: Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (#95689)	2023-08-02 16:24:42 +00:00
quantization	[quant][pt2e] Enable constant folding for quantize ops (#109343)	2023-09-27 06:04:45 +00:00
__init__.py	[refactor] Renaming ao.sparsity to ao.pruning (#84867)	2022-10-07 00:58:41 +00:00