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[executorch][native-vulkan] Lower rms_norm without a weight on the Vulkan engine - #25097
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/25097
Note: Links to docs will display an error until the docs builds have been completed. ❌ 3 New FailuresAs of commit 8da889e with merge base 925c1bd ( NEW FAILURES - The following jobs have failed:
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Stack from ghstack (oldest at bottom):
LowerRMSNormrequired a constant weight, soaten.rms_normwith a None weight stayed unlowered and the Vulkan engine rejected it as an unsupported op. Now thatet_vk.rms_normtakes an optional weight, the pass also lowers a None weight and passes it through, and the engine binds it as an ET-VK None value. A present weight still has to be a constant of the normalized shape and the input dtype.The pass now also leaves a norm over a zero-width last dim unlowered, with or without a weight, so it fails as an unsupported op instead of dividing by zero when ET-VK computes the kernel's work grid.
Authored with Claude Code.
Differential Revision: D131119350
NOTE FOR REVIEWERS: This PR has internal Meta-specific changes or comments, please review them on Phabricator!