6 Commits

Author	SHA1	Message	Date
Bugra Akyildiz	27c7158166	Remove __future__ imports for legacy Python2 supports (#45033) ... Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38	2020-09-23 17:57:02 -07:00
Hong Xu	da4f3629c5	Add missing shebangs to Python files with executable permissions. ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21305 Differential Revision: D15613078 Pulled By: ezyang fbshipit-source-id: 1fedf4368d65db406b617a51402ee8a20968aff7	2019-06-06 10:53:40 -07:00
Lin Li	4a2f3cc45f	Improve lars operator by applying clipping (#9905) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9905 This diff improves lars operator in Caffe2 by applying clipping to the computed learning rate Reviewed By: pjh5 Differential Revision: D9020606 fbshipit-source-id: b579f1d628113c09366feac9406002f1ef4bd54f	2018-08-02 11:54:28 -07:00
Orion Reblitz-Richardson	1d5780d42c	Remove Apache headers from source. ... * LICENSE file contains details, so removing from individual source files.	2018-03-27 13:10:18 -07:00
Qinqing Zheng	d013e16cf4	[C2] Enable LARS on GPU (#2115)	2018-03-02 18:06:19 -08:00
Qinqing Zheng	7cafdab69b	[C2] Implement Layer-wise Adaptive Rate Scaling (LARS) (#2034) ... * [C2] Implement Layer-wise Adaptive Rate Scaling (LARS) * [C2] Implement Layer-wise Adaptive Rate Scaling (LARS) * add unit test for Lars * set default value for lars to be None * remove lars for subclasses of SgdOptimizer	2018-02-25 14:58:31 -08:00