4 Commits

Author	SHA1	Message	Date
Richard Barnes	9945fd7253	Drop unused imports from caffe2/python (#49980) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/49980 From ``` ./python/libcst/libcst codemod remove_unused_imports.RemoveUnusedImportsWithGlean --no-format caffe2/ ``` Test Plan: Standard sandcastle tests Reviewed By: xush6528 Differential Revision: D25727359 fbshipit-source-id: c4f60005b10546423dc093d31d46deb418352286	2021-01-05 13:17:46 -08:00
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
Cheng,Penghui	e13101e069	support pre-convert filter format for mkldnn training mode and change 'OptimizeForIdeep' to 'OptimizeForMkldnn' (#15171) ... Summary: For MKL-DNN,the filter data will be reorderd to primitive format, it takes a lot of time. So the patch provide a method to convert filter format before training. And "OptimizeForIdeep" will be changed to "OptimizeForMkldnn" in this patch. This patch depends on https://github.com/pytorch/pytorch/pull/12866 Pull Request resolved: https://github.com/pytorch/pytorch/pull/15171 Differential Revision: D14590741 Pulled By: yinghai fbshipit-source-id: 07971c9977edac3c8eec08ca2c39cda639683492	2019-03-29 19:00:48 -07:00
Yinghai Lu	ed3b12e1ba	[Caffe2] Ideep net optmization passes (#7514) ... * Transform ideep net * Add conv+relu transformation * Add verification and address comments	2018-05-11 23:50:18 -07:00