[pull] master from pytorch:master#16
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pull[bot] merged 4 commits intopeterjc123:masterfrom Sep 25, 2019
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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
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