[ET-VK][ez] Store physical device identity metadata #10353
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## Context Lay the groundwork for storing device identity metadata. This will allow operator implementations to select and/or configure compute shaders based on the GPU that is being used. Differential Revision: [D73438723](https://our.internmc.facebook.com/intern/diff/D73438723/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10353
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New FailuresAs of commit 809fee4 with merge base 95c663e ( NEW FAILURES - The following jobs have failed:
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## Context Lay the groundwork for storing device identity metadata. This will allow operator implementations to select and/or configure compute shaders based on the GPU that is being used. Differential Revision: [D73438723](https://our.internmc.facebook.com/intern/diff/D73438723/) ghstack-source-id: 279540367 Pull Request resolved: #10353
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## Context Lay the groundwork for storing device identity metadata. This will allow operator implementations to select and/or configure compute shaders based on the GPU that is being used. Differential Revision: [D73438723](https://our.internmc.facebook.com/intern/diff/D73438723/) [ghstack-poisoned]
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Pull Request resolved: #10353 ## Context Lay the groundwork for storing device identity metadata. This will allow operator implementations to select and/or configure compute shaders based on the GPU that is being used. Differential Revision: [D73438723](https://our.internmc.facebook.com/intern/diff/D73438723/) ghstack-source-id: 279563504
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This pull request was exported from Phabricator. Differential Revision: D73438723 |
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Lay the groundwork for storing device identity metadata. This will allow operator implementations to select and/or configure compute shaders based on the GPU that is being used.
Differential Revision: D73438723