These builds weren't advertised on our websites and we've confirmed that
CUDA 11.3 binaries are forwards compatible with CUDA 11.1 drivers.
Signed-off-by: Eli Uriegas <eliuriegasfb.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/73376
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/72010
We were adding additional CUDA arches to our libtorch builds when we
shouldn't have been
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>
Test Plan: Imported from OSS
Reviewed By: atalman
Differential Revision: D33851196
Pulled By: seemethere
fbshipit-source-id: 52055d0cf5b528f45ef0aa33da297cd4175e8dcf
(cherry picked from commit f33b27ecab)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68388
Updates the gpu architectures as well as adding a trigger for
on_pull_request for the binary build workflows so that we can iterate on
this later
TODO:
* Create follow up PR to enable nightly linux GHA builds / disable CircleCI nighlty linux builds
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>
Test Plan: Imported from OSS
Reviewed By: janeyx99
Differential Revision: D33462294
Pulled By: seemethere
fbshipit-source-id: 5fa30517550d36f504b491cf6c1e5c9da56d8191
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56056
Since internal systems as well as colab have updated beyond CUDA 10.1
I'd say it's safe to remove CUDA 10.1 builds entirely
As mentioned in https://github.com/pytorch/pytorch/issues/55829#issuecomment-818236019
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>
Test Plan: Imported from OSS
Reviewed By: walterddr
Differential Revision: D27772826
Pulled By: seemethere
fbshipit-source-id: 1599bba26b73b909b2575130219e2708ade5654c
