[ET-VK] Tuning local workgroup size calculation for conv2d pw to improve performance. #11135
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…ove performance.
This diff adjusts the local workgroup size (`local_wg_size`) based on batch count (stored in `wg_size[1]`), to improve conv2d pw performance.
* If `wg_size[1]` is a multiple of 8, `local_wg_size_y` is set to 8.
* If `wg_size[1]` is a multiple of 4, `local_wg_size_y` is set to 4.
* If `wg_size[1]` is a multiple of 2, `local_wg_size_y` is set to 2.
* Otherwise, we default to `local_wg_size_y` = 1.
The dispatch size in 2 dimensions is then calculate based on `{64 / local_wg_size_y, local_wg_size_y, 1}`.
Differential Revision: [D75420517](https://our.internmc.facebook.com/intern/diff/D75420517/)
[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11135
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit ea2e9d5 with merge base 380eb5f ( BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This pull request was exported from Phabricator. Differential Revision: D75420517 |
… pw to improve performance."
This diff adjusts the local workgroup size (`local_wg_size`) based on batch count (stored in `wg_size[1]`), to improve conv2d pw performance.
* If `wg_size[1]` is a multiple of 8, `local_wg_size_y` is set to 8.
* If `wg_size[1]` is a multiple of 4, `local_wg_size_y` is set to 4.
* If `wg_size[1]` is a multiple of 2, `local_wg_size_y` is set to 2.
* Otherwise, we default to `local_wg_size_y` = 1.
The dispatch size in 2 dimensions is then calculate based on `{64 / local_wg_size_y, local_wg_size_y, 1}`.
Differential Revision: [D75420517](https://our.internmc.facebook.com/intern/diff/D75420517/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D75420517 |
SS-JIA
approved these changes
May 27, 2025
… pw to improve performance."
This diff adjusts the local workgroup size (`local_wg_size`) based on batch count (stored in `wg_size[1]`), to improve conv2d pw performance.
* If `wg_size[1]` is a multiple of 8, `local_wg_size_y` is set to 8.
* If `wg_size[1]` is a multiple of 4, `local_wg_size_y` is set to 4.
* If `wg_size[1]` is a multiple of 2, `local_wg_size_y` is set to 2.
* Otherwise, we default to `local_wg_size_y` = 1.
The dispatch size in 2 dimensions is then calculate based on `{64 / local_wg_size_y, local_wg_size_y, 1}`.
Differential Revision: [D75420517](https://our.internmc.facebook.com/intern/diff/D75420517/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D75420517 |
trivedivivek
added
the
release notes: none
… pw to improve performance."
This diff adjusts the local workgroup size (`local_wg_size`) based on batch count (stored in `wg_size[1]`), to improve conv2d pw performance.
* If `wg_size[1]` is a multiple of 8, `local_wg_size_y` is set to 8.
* If `wg_size[1]` is a multiple of 4, `local_wg_size_y` is set to 4.
* If `wg_size[1]` is a multiple of 2, `local_wg_size_y` is set to 2.
* Otherwise, we default to `local_wg_size_y` = 1.
The dispatch size in 2 dimensions is then calculate based on `{64 / local_wg_size_y, local_wg_size_y, 1}`.
Differential Revision: [D75420517](https://our.internmc.facebook.com/intern/diff/D75420517/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D75420517 |
… pw to improve performance."
This diff adjusts the local workgroup size (`local_wg_size`) based on batch count (stored in `wg_size[1]`), to improve conv2d pw performance.
* If `wg_size[1]` is a multiple of 8, `local_wg_size_y` is set to 8.
* If `wg_size[1]` is a multiple of 4, `local_wg_size_y` is set to 4.
* If `wg_size[1]` is a multiple of 2, `local_wg_size_y` is set to 2.
* Otherwise, we default to `local_wg_size_y` = 1.
The dispatch size in 2 dimensions is then calculate based on `{64 / local_wg_size_y, local_wg_size_y, 1}`.
Differential Revision: [D75420517](https://our.internmc.facebook.com/intern/diff/D75420517/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D75420517 |
… pw to improve performance."
This diff adjusts the local workgroup size (`local_wg_size`) based on batch count (stored in `wg_size[1]`), to improve conv2d pw performance.
* If `wg_size[1]` is a multiple of 8, `local_wg_size_y` is set to 8.
* If `wg_size[1]` is a multiple of 4, `local_wg_size_y` is set to 4.
* If `wg_size[1]` is a multiple of 2, `local_wg_size_y` is set to 2.
* Otherwise, we default to `local_wg_size_y` = 1.
The dispatch size in 2 dimensions is then calculate based on `{64 / local_wg_size_y, local_wg_size_y, 1}`.
Differential Revision: [D75420517](https://our.internmc.facebook.com/intern/diff/D75420517/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D75420517 |
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Stack from ghstack (oldest at bottom):
This diff adjusts the local workgroup size (
local_wg_size) based on batch count (stored inwg_size[1]), to improve conv2d pw performance.wg_size[1]is a multiple of 8,local_wg_size_yis set to 8.wg_size[1]is a multiple of 4,local_wg_size_yis set to 4.wg_size[1]is a multiple of 2,local_wg_size_yis set to 2.local_wg_size_y= 1.The dispatch size in 2 dimensions is then calculate based on
{64 / local_wg_size_y, local_wg_size_y, 1}.Differential Revision: D75420517