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Move quantize IO passes from internal to ExecuTorch #6686
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6686
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit d60aef5 with merge base 17ad8d3 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This pull request was exported from Phabricator. Differential Revision: D65188297 |
Summary: Rationale: code sharing. rather than rewriting Differential Revision: D65188297
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This pull request was exported from Phabricator. Differential Revision: D65188297 |
Summary: Rationale: code sharing. rather than rewriting Reviewed By: YIWENX14, kirklandsign Differential Revision: D65188297
ea0527f
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This pull request was exported from Phabricator. Differential Revision: D65188297 |
Allows us to use the quantistion pass in pytorch#6686 Change-Id: Ie430c6e209539fc93a5c07ac94543abf81ee7977
Allows us to use the quantistion pass in pytorch#6686 Change-Id: Ie430c6e209539fc93a5c07ac94543abf81ee7977
Allows us to use the quantistion pass in #6686 Change-Id: Ie430c6e209539fc93a5c07ac94543abf81ee7977
Summary: Rationale: code sharing. rather than rewriting
Differential Revision: D65188297