Xia, Weiwen 3b0cd9b542 [Quant][PT2E] add a lowering pass for x86 backend (#149708) ... **Summary** This PR adds a lowering pass for x86 backend - Patterns of `dequantize -> conv/linear (-> quantize)` are fused to corresponding quantized onednn ops. - Weights are prepacked ahead of time. - Post ops of conv/linear are fused if supported. - The pass returns a `GraphModule` with the modifications mentioned above. **Test plan** ``` pytest test/quantization/pt2e/test_x86inductor_quantizer.py -k test_lowering_to_x86 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/149708 Approved by: https://github.com/jerryzh168, https://github.com/leslie-fang-intel		2025-04-01 17:32:41 +00:00
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ao_migration	PEP585 update - test (#145176)	2025-01-22 04:48:28 +00:00
bc	PEP585 update - test (#145176)	2025-01-22 04:48:28 +00:00
core	add torch.float4_e2m1fn_x2 to PyTorch (#148791)	2025-03-27 17:32:20 +00:00
eager	PEP585 update - test (#145176)	2025-01-22 04:48:28 +00:00
fx	Add test coverage (#149182)	2025-03-14 09:38:29 +00:00
jit	PEP585 update - test (#145176)	2025-01-22 04:48:28 +00:00
pt2e	[Quant][PT2E] add a lowering pass for x86 backend (#149708)	2025-04-01 17:32:41 +00:00
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__init__.py