rebase release test branch #2125
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Summary: Pull Request resolved: pytorch#2119 X-link: pytorch/pytorch#117610 Add a torch._export.aot_load API that can load an AOTInductor-compiled model.so into a python executable. Reviewed By: khabinov, angelayi Differential Revision: D52825456 fbshipit-source-id: 1cc2e93f4621863d2535360edca2d72a305bafdf
Summary: Pull Request resolved: pytorch#2093 Reviewed By: aaronenyeshi Differential Revision: D52806835 Pulled By: xuzhao9 fbshipit-source-id: b47e37e77a2823a758dff668c2968351925d4e83
Summary: Re-enables the SGD optimizer now that compile times are more reasonable. [Benchmark run](https://github.com/pytorch/pytorch/actions/runs/7511073761) X-link: pytorch/pytorch#117434 Approved by: https://github.com/anijain2305, https://github.com/janeyx99 Reviewed By: PaliC Differential Revision: D52863329 Pulled By: mlazos fbshipit-source-id: 6f73550531679c780cafe5eaf4afcb02d15d1237
Summary: This allows to heavily simplify the implementation of set, which was "quite unique". Now we represent a set a as a dict where all its values are None. X-link: pytorch/pytorch#110524 Approved by: https://github.com/jansel ghstack dependencies: #112252, #117630 Reviewed By: PaliC Differential Revision: D52894711 fbshipit-source-id: 6c5a1bfe5af3f801ac274b75ea00fba071e8abd7
Summary: basically the same code as phi1.5, but both are interesting to us. Pull Request resolved: pytorch#2117 Reviewed By: xmfan Differential Revision: D52913414 Pulled By: xuzhao9 fbshipit-source-id: 18c412d42aa257ef9020219cf00a7c5de921b520
Summary: This reverts commit e7fac72be75a9fa7a31c6fc8062364fdfc4aaa3a. Reverted pytorch/pytorch#117434 on behalf of https://github.com/lezcano due to breaks test_profiler.py when run with dynamo ([comment](pytorch/pytorch#117434 (comment))) Reviewed By: PaliC Differential Revision: D52894485 fbshipit-source-id: e61a3cbf27c27c862b8e4a82d05cee3dfa54716c
Summary: The GCP A100 runner infra has been updated to the latest version with Ubuntu 22.04 (jammy). 1. The updated runners will be only assigned the "a100-runner" tag. 2. The updated NVIDIA driver libraries will be mapped to the container, and there is no need to install the NVIDIA driver within the Docker. Pull Request resolved: pytorch#2120 Reviewed By: aaronenyeshi Differential Revision: D52920468 Pulled By: xuzhao9 fbshipit-source-id: fea88333b32a08e79efcb20cf17c712202de9453
Summary: The following three models were missing python package installations that cause them to fail: - vision_maskrcnn (pycocotools package) - soft_actor_critic (tensorboardX package) - drq (gym package) Pull Request resolved: pytorch#2115 Reviewed By: aaronenyeshi Differential Revision: D52923310 Pulled By: xuzhao9 fbshipit-source-id: d984dbdbb025f3ab25a3611601d2a3564751545f
Reviewed By: azad-meta Differential Revision: D52957335 fbshipit-source-id: 1f45063e5c6e15d8ae3305efeef3b492131a858a
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