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Static attention: do not specialize on input sequence length #13373
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13373
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 4 Unrelated FailuresAs of commit c972840 with merge base 02a203e ( NEW FAILURE - The following job has failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but was 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: D80181012 |
This PR needs a
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…#13373) Summary: Hardcode embedding/head dims which are fixed and use -1 for the sequence length dimension when reshaping, this allows us to quantize the graph once and export it to different sequence lengths. Differential Revision: D80181012
…#13373) Summary: Hardcode embedding/head dims which are fixed and use -1 for the sequence length dimension when reshaping, this allows us to quantize the graph once and export it to different sequence lengths. Reviewed By: billmguo Differential Revision: D80181012
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This pull request was exported from Phabricator. Differential Revision: D80181012 |
Differential Revision: D80181012 Pull Request resolved: pytorch#13373
Summary: Hardcode embedding/head dims which are fixed and use -1 for the sequence length dimension when reshaping, this allows us to quantize the graph once and export it to different sequence lengths.
Differential Revision: D80181012