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[ET-VK] Removing tile input storage variable in conv_pw op and fetching the data in main loop. Also unrolling the main loop for performance improvement. #6765

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trivedivivek
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@trivedivivek trivedivivek commented Nov 11, 2024

…ng the data in main loop. Also unrolling the main loop for performance improvement.

This diff removes the tile input storage array in_tex in the conv_pw op and fetches the data in the main loop for performance improvement.
The main loop has also been unrolled for performance improvement.

Differential Revision: [D64767314](https://our.internmc.facebook.com/intern/diff/D64767314/)

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6765

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This pull request was exported from Phabricator. Differential Revision: D64767314

@facebook-github-bot facebook-github-bot merged commit 1cb0b72 into gh/trivedivivek/11/base Nov 12, 2024
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@facebook-github-bot facebook-github-bot deleted the gh/trivedivivek/11/head branch November 12, 2024 01:19
SS-JIA pushed a commit that referenced this pull request Nov 12, 2024
…ng the data in main loop. Also unrolling the main loop for performance improvement.

This diff removes the tile input storage array in_tex in the conv_pw op and fetches the data in the main loop for performance improvement.
The main loop has also been unrolled for performance improvement.

Differential Revision: [D64767314](https://our.internmc.facebook.com/intern/diff/D64767314/)

ghstack-source-id: 252923517
Pull Request resolved: #6765
SS-JIA pushed a commit that referenced this pull request Nov 12, 2024
…ng the data in main loop. Also unrolling the main loop for performance improvement. (#6775)

This diff removes the tile input storage array in_tex in the conv_pw op and fetches the data in the main loop for performance improvement.
The main loop has also been unrolled for performance improvement.

Differential Revision: [D64767314](https://our.internmc.facebook.com/intern/diff/D64767314/)

ghstack-source-id: 252923517
Pull Request resolved: #6765

Co-authored-by: Vivek Trivedi <[email protected]>
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3 participants