3 Commits

Author	SHA1	Message	Date
Raghuraman Krishnamoorthi	1c5e48bbd0	Observer returns original tensor for post training quantization (#24196) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/24196 Observer returns output with no changes for post training quant. This unifies observer semantics for QAT and PTQ. ghstack-source-id: 88140887 Differential Revision: D16768277 fbshipit-source-id: fae7c94e3dc0eeda363e9982b3865a15113e11bd	2019-08-13 14:01:37 -07:00
Jerry Zhang	f7de9be3c0	Add FakeQuantize Module (#21767) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21767 Adding FakeQuantize Module for quantization aware training Reviewed By: dzhulgakov Differential Revision: D15728503 fbshipit-source-id: 2a9a6a362812ede3deac42b93dddca35987bd8e6	2019-07-15 14:08:55 -07:00
Jerry Zhang	5040d52a5a	torch.quantization conversion utilities, observers for eager mode quantization (#22010) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/22010 torch.quantization module with observers and conversion routines Reviewed By: zafartahirov Differential Revision: D15554183 fbshipit-source-id: 05a3fabe28dd701978b8ecebf5bfc3a4c044ba5c	2019-07-09 10:51:38 -07:00