Jerry Zhang c475ef72f9 Change order of activation and weight in QConfig (#25950) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/25950 I feel that is a more natural order Test Plan: python test/test_quantizer.py Imported from OSS Differential Revision: D17294963 fbshipit-source-id: ed8ffdfe788a5e81966bda856e8d046ab68ee229		2019-09-11 09:51:01 -07:00
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__init__.py	Dynamic Quantized Linear Module (#23128)	2019-08-13 21:01:23 -07:00
fake_quantize.py	Change return type of observer to two tensors (#24339)	2019-08-15 10:26:44 -07:00
fuse_modules.py	ConvBn2d/ConvBnReLU2d (#23357)	2019-08-01 10:07:00 -07:00
observer.py	Relax scale to prevent saturation in conv/linear. Add test to verify precision of numerics of quantized model with updated observer. This test catches errors in (#25667)	2019-09-06 17:18:01 -07:00
QConfig.py	Change order of activation and weight in QConfig (#25950)	2019-09-11 09:51:01 -07:00
quantize.py	Add torch.nn.LSTM into the default dynamic quantize mappings (#25954)	2019-09-10 21:03:12 -07:00