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[pull] master from pytorch:master#16

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pull[bot] merged 4 commits intopeterjc123:masterfrom
pytorch:master
Sep 25, 2019
Merged

[pull] master from pytorch:master#16
pull[bot] merged 4 commits intopeterjc123:masterfrom
pytorch:master

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@pull pull Bot commented Sep 25, 2019

See Commits and Changes for more details.


Created by pull[bot]. Want to support this open source service? Please star it : )

svcscm and others added 4 commits September 25, 2019 09:52
Summary:
GitHub commits:

facebook/litho@5096b0a
facebook/proxygen@ecd6c10
facebook/mvfst@67abe5d
facebookarchive/profilo@90580f7
facebookresearch/PyTorch-BigGraph@7f98961
pytorch/FBGEMM@f8da6e6

Test Plan: n/a

Reviewed By: yns88

fbshipit-source-id: 60ce61531cf6d4ac8616b3986b40b423abc7de15
Summary:
Pull Request resolved: #26773

att

Test Plan:
ci

Imported from OSS

Differential Revision: D17563673

fbshipit-source-id: 5a6fb4238b6886695c2d25db11fec22ebe5d0c08
Summary: Pull Request resolved: #25397

Differential Revision: D17565747

Pulled By: Krovatkin

fbshipit-source-id: b772437d9e02df99db6e662cb7d1227359959bed
Summary:
- Separates device type from default (test) device
- Adds multidevice decorator
- Updates generic tests to use multidevice decorator where applicable

TorchXLA wants to change the default test device based on the test environment. Separating the device type and the default (test) device enables that functionality.

Additionally, many existing tests only run on multiple devices and are required, as a consequence, to make CUDA-specific API calls. The multidevice decorator simplifies the existing code and limits the CUDA dependency. Eventually this should let us run multidevice tests on multiple device types.
Pull Request resolved: #26594

Test Plan: tests were manually run with the CUDA test device set to 'cuda:1'.

Differential Revision: D17568910

Pulled By: mruberry

fbshipit-source-id: c442f748a31a970be8c21deb12a67c3b315c1128
@pull pull Bot added the ⤵️ pull label Sep 25, 2019
@pull pull Bot merged commit 25cd3c6 into peterjc123:master Sep 25, 2019
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2 participants