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[ET-VK] Implement `native_group_norm #11827

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@SS-JIA SS-JIA commented Jun 20, 2025 •
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Stack from ghstack (oldest at bottom):

Changes

  • Add implementation for the group norm operator.

The operator is implemented via a 2 stage implementation. First, a reduction operator is executed to calculate the mean and standard deviation of each channel group. Then, the normalization is applied in an elementwise fashion.

Differential Revision: D77038778

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[ET-VK] Implement `native_group_norm
4de8d6e 
## Changes

* Add implementation for the group norm operator.

The operator is implemented via a 2 stage implementation. First, a reduction operator is executed to calculate the mean and standard deviation of each channel group. Then, the normalization is applied in an elementwise fashion.

Differential Revision: [D77038778](https://our.internmc.facebook.com/intern/diff/D77038778/)

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pytorch-bot bot commented Jun 20, 2025 •
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11827

Note: Links to docs will display an error until the docs builds have been completed.

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Jun 20, 2025
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This pull request was exported from Phabricator. Differential Revision: D77038778

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Update on "[ET-VK] Implement `native_group_norm"
aae67bf 
## Changes

* Add implementation for the group norm operator.

The operator is implemented via a 2 stage implementation. First, a reduction operator is executed to calculate the mean and standard deviation of each channel group. Then, the normalization is applied in an elementwise fashion.

Differential Revision: [D77038778](https://our.internmc.facebook.com/intern/diff/D77038778/)

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This pull request was exported from Phabricator. Differential Revision: D77038778

@SS-JIA
Update on "[ET-VK] Implement `native_group_norm"
ad03e24 
## Changes

* Add implementation for the group norm operator.

The operator is implemented via a 2 stage implementation. First, a reduction operator is executed to calculate the mean and standard deviation of each channel group. Then, the normalization is applied in an elementwise fashion.

Differential Revision: [D77038778](https://our.internmc.facebook.com/intern/diff/D77038778/)

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This pull request was exported from Phabricator. Differential Revision: D77038778

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