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[ET-VK] Tuning conv 2d pw op tile size to improve perf. #11112
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[ET-VK] Tuning conv 2d pw op tile size to improve perf. #11112
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This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11112
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 2 Unrelated FailuresAs of commit 767d018 with merge base 380eb5f ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) ghstack-source-id: 285956546 Pull Request resolved: #11112
This pull request was exported from Phabricator. Differential Revision: D75317820 |
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) [ghstack-poisoned]
This pull request was exported from Phabricator. Differential Revision: D75317820 |
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) [ghstack-poisoned]
This pull request was exported from Phabricator. Differential Revision: D75317820 |
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) [ghstack-poisoned]
This pull request was exported from Phabricator. Differential Revision: D75317820 |
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) [ghstack-poisoned]
This pull request was exported from Phabricator. Differential Revision: D75317820 |
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) [ghstack-poisoned]
This pull request was exported from Phabricator. Differential Revision: D75317820 |
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/) [ghstack-poisoned]
This pull request was exported from Phabricator. Differential Revision: D75317820 |
8b7e4fe
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gh/trivedivivek/91/base
This PR was created by the merge bot to help merge the original PR into the main branch. ghstack PR number: #11112 by @trivedivivek ^ Please use this as the source of truth for the PR details, comments, and reviews ghstack PR base: https://github.com/pytorch/executorch/tree/gh/trivedivivek/91/base ghstack PR head: https://github.com/pytorch/executorch/tree/gh/trivedivivek/91/head Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/trivedivivek/90/orig Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/trivedivivek/91/orig @diff-train-skip-merge --------- Co-authored-by: Vivek Trivedi <5340687+trivedivivek@users.noreply.github.com>
Stack from ghstack (oldest at bottom):
This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the
TILE_SIZE_X
andTILE_SIZE_Y
values in theconv2d_pw.yaml
files and modifying theConvolution.cpp
files to adjust the image extents calculation. TheTILE_SIZE_X
value is changed from 2 to 1, and theTILE_SIZE_Y
value is changed from 2 to 4.Differential Revision: D75317820