[ET-VK] Generalize constant_pad_nd to support any storage type and packed dimension#18051
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SS-JIA wants to merge 1 commit intogh/SS-JIA/468/basefrom
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[ET-VK] Generalize constant_pad_nd to support any storage type and packed dimension#18051SS-JIA wants to merge 1 commit intogh/SS-JIA/468/basefrom
SS-JIA wants to merge 1 commit intogh/SS-JIA/468/basefrom
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…cked dimension Replace the old pad_channel and pad_height_width shaders with generalized pad_buffer and pad_texture shaders that work with any storage type and packed dimension using BufferMetadata/TextureMetadata and indexing.glslh utilities. Differential Revision: [D95970168](https://our.internmc.facebook.com/intern/diff/D95970168/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18051
Note: Links to docs will display an error until the docs builds have been completed. ❌ 3 New Failures, 10 PendingAs of commit c8ef823 with merge base f09bd55 ( NEW FAILURES - The following jobs have failed:
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This was referenced Mar 10, 2026
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Stack from ghstack (oldest at bottom):
Replace the old pad_channel and pad_height_width shaders with generalized pad_buffer and pad_texture shaders that work with any storage type and packed dimension using BufferMetadata/TextureMetadata and indexing.glslh utilities.
Differential Revision: D95970168