[PyTorch] AOTI: override VecISA selection in fbcode #111816
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The OSS selection mechanism does not work internally, and doesn't make sense when the machine building the .so and the machine executing it may be different anyway. Differential Revision: [D50140024](https://our.internmc.facebook.com/intern/diff/D50140024/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/111816
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 4ae589d with merge base e9422b1 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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The OSS selection mechanism does not work internally, and doesn't make sense when the machine building the .so and the machine executing it may be different anyway. Differential Revision: [D50140024](https://our.internmc.facebook.com/intern/diff/D50140024/) cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 aakhundov ColinPeppler [ghstack-poisoned]
jansel
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Oct 23, 2023
msaroufim
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Oct 23, 2023
pytorchmergebot
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Oct 24, 2023
Calling the `aoti_torch_{device_type,dtype}` functions on
each iteration can impose high costs on overhead-bound CPU models
because they can't be inlined across a DSO boundary. If we call them
on load, we can use simple load instructions at run time.
Differential Revision: [D50563682](https://our.internmc.facebook.com/intern/diff/D50563682/)
Pull Request resolved: #111820
Approved by: https://github.com/chenyang78, https://github.com/desertfire
ghstack dependencies: #111815, #111816
xuhancn
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Nov 7, 2023
The OSS selection mechanism does not work internally, and doesn't make sense when the machine building the .so and the machine executing it may be different anyway. Differential Revision: [D50140024](https://our.internmc.facebook.com/intern/diff/D50140024/) Pull Request resolved: pytorch#111816 Approved by: https://github.com/jansel, https://github.com/msaroufim ghstack dependencies: pytorch#111815
xuhancn
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Nov 7, 2023
…1820) Calling the `aoti_torch_{device_type,dtype}` functions on each iteration can impose high costs on overhead-bound CPU models because they can't be inlined across a DSO boundary. If we call them on load, we can use simple load instructions at run time. Differential Revision: [D50563682](https://our.internmc.facebook.com/intern/diff/D50563682/) Pull Request resolved: pytorch#111820 Approved by: https://github.com/chenyang78, https://github.com/desertfire ghstack dependencies: pytorch#111815, pytorch#111816
Skylion007
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Nov 14, 2023
The OSS selection mechanism does not work internally, and doesn't make sense when the machine building the .so and the machine executing it may be different anyway. Differential Revision: [D50140024](https://our.internmc.facebook.com/intern/diff/D50140024/) Pull Request resolved: pytorch#111816 Approved by: https://github.com/jansel, https://github.com/msaroufim ghstack dependencies: pytorch#111815
Skylion007
pushed a commit
to Skylion007/pytorch
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Nov 14, 2023
…1820) Calling the `aoti_torch_{device_type,dtype}` functions on each iteration can impose high costs on overhead-bound CPU models because they can't be inlined across a DSO boundary. If we call them on load, we can use simple load instructions at run time. Differential Revision: [D50563682](https://our.internmc.facebook.com/intern/diff/D50563682/) Pull Request resolved: pytorch#111820 Approved by: https://github.com/chenyang78, https://github.com/desertfire ghstack dependencies: pytorch#111815, pytorch#111816
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Stack from ghstack (oldest at bottom):
The OSS selection mechanism does not work internally, and doesn't make sense when the machine building the .so and the machine executing it may be different anyway.
Differential Revision: D50140024
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @aakhundov @ColinPeppler