James Reed a0b13b4fa5 extra_repr for quantized modules (#24443) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/24443 This gives us useful information about the Module when we print it, like so: ``` FloatModule( (quant): Quantize() (conv1): Conv2d(1, 20, kernel_size=(5, 5), stride=(1, 1), scale=0.08209919929504395, zero_point=128) (conv2): Conv2d(20, 50, kernel_size=(5, 5), stride=(1, 1), scale=0.16885940730571747, zero_point=128) (fc1): Linear(in_features=800, out_features=500, bias=True, scale=0.12840059399604797, zero_point=128) (fc2): Linear(in_features=500, out_features=10, bias=True, scale=0.260015606880188, zero_point=128) (dequant): DeQuantize() ) ``` Test Plan: Imported from OSS Differential Revision: D16847140 Pulled By: jamesr66a fbshipit-source-id: 8c995108f17ed1b086d1fb30471a41c532c68080		2019-08-16 22:38:45 -07:00
..
__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	extra_repr for quantized modules (#24443)	2019-08-16 22:38:45 -07:00
QConfig.py	Fix QConfig_dynamic typename (#24431)	2019-08-15 15:25:19 -07:00
quantize.py	Fixes the adding of the observer to the FloatFunctional (#24418)	2019-08-15 17:27:00 -07:00