[ET-VK] Minor performance improvements to native layer norm. #9892
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This diff introduces minor performance improvements to the native layer norm function in the Vulkan backend of Executorch. In this new approach: The mean and variance values are calculated in 2 separate passes. Shader is dispatched based on input texture size, and input texel is read and stored in shared memory. Input stored in shard memory is then summed up using a reduce function. This implementation better utilizes a GPUs parallel processing capabilities. Differential Revision: [D72430290](https://our.internmc.facebook.com/intern/diff/D72430290/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/9892
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 453b4dc with merge base e9c2315 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This diff introduces minor performance improvements to the native layer norm function in the Vulkan backend of Executorch. In this new approach: The mean and variance values are calculated in 2 separate passes. Shader is dispatched based on input texture size, and input texel is read and stored in shared memory. Input stored in shard memory is then summed up using a reduce function. This implementation better utilizes a GPUs parallel processing capabilities. Differential Revision: [D72430290](https://our.internmc.facebook.com/intern/diff/D72430290/) ghstack-source-id: 276053981 Pull Request resolved: #9892
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This pull request was exported from Phabricator. Differential Revision: D72430290 |
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Stack from ghstack (oldest at bottom):
This diff introduces minor performance improvements to the native layer norm function in the Vulkan backend of Executorch.
In this new approach:
The mean and variance values are calculated in 2 separate passes.
Shader is dispatched based on input texture size, and input texel is read and stored in shared memory.
Input stored in shard memory is then summed up using a reduce function.
This implementation better utilizes a GPUs parallel processing capabilities.
Differential Revision: D72430290