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6 Commits

Author SHA1 Message Date
Natalia Gimelshein
db5e5781ad replace all remaining occurrences of deadline=1000, to prevent test flakiness 
Summary: Per title

Test Plan: Fixes existing tests

Reviewed By: robieta

Differential Revision: D28690296

fbshipit-source-id: d7b5b5065517373b75d501872814c89b24ec8cfc
 2021-05-25 15:55:30 -07:00
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
Christopher Whelan
5cd0f5e8ec [PyFI] Update hypothesis and switch from tp2 (#41645) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/41645

Pull Request resolved: https://github.com/facebookresearch/pytext/pull/1405

Test Plan: buck test

Reviewed By: thatch

Differential Revision: D20323893

fbshipit-source-id: 54665d589568c4198e96a27f0ed8e5b41df7b86b
 2020-08-08 12:13:04 -07:00
Jongsoo Park
c7448aa13c remove unused parameters in optimizer tests (#18084) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18084

data_strategy parameter was not used in some of unit tests for optimizers

Reviewed By: hyuen

Differential Revision: D14487830

fbshipit-source-id: d757cd06aa2965f4c0570a4a18ba090b98820ef4
 2019-03-15 18:06:15 -07:00
Ansha Yu
3b1a5a1b8a Refactor tests part 2 (#11811) 
Summary:
Followup to the [first refactor](https://github.com/pytorch/pytorch/pull/11350). Increase coverage of tests
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11811

Reviewed By: houseroad

Differential Revision: D9923074

Pulled By: ajyu

fbshipit-source-id: 0f899bb9e9a75bf7ed939e06cc9b028daa7f6bd9
 2018-09-19 10:09:28 -07:00
Jian Zhang
9e2f2cab94 Implementation and operator test for Wngrad optimizer (#8999) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/8999

Closes https://github.com/pytorch/pytorch/pull/8999

Implemented the WRgrad optimizer operator for dense (base case as well as the case with additional output for effective learning rate and update value) and sparse case.

Reviewed By: pjh5

Differential Revision: D8627933

fbshipit-source-id: a63cde46c04bcc6b428ab5f77a4b3b2beb66c046
 2018-07-13 18:11:41 -07:00