[ET-VK] Implement `native_group_norm #11827
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## 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/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11827
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## 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/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77038778 |
## 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/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77038778 |
## 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/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77038778 |
## 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/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77038778 |
## 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/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77038778 |
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Pull Request resolved: pytorch/executorch#11827 ## 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. ghstack-source-id: 292530158 @exported-using-ghexport Differential Revision: [D77038778](https://our.internmc.facebook.com/intern/diff/D77038778/)
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Changes
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