build cadence cpu flow as a stand-alone cmake dependency #5555
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/5555
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 8d4cf0d with merge base 72245c3 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This pull request was exported from Phabricator. Differential Revision: D63284100 |
Summary: This PR enables - stand-alone build of xtensa hifi kernels and runtime flow by build_cadence_xtensa.sh - ported new slice-utils for slice op - updated the xtensa build bash instruction - removed unused hifi kernel header Next pr will enable - stand-alone build of cpu reference kernels and runtime flow by build_cadence_runner.sh Differential Revision: D63281705
Summary: Pull Request resolved: pytorch#5555 This PR - Re-enable cadence e2e flow (quant ops, models) on CPU - move cadence runner builder to cadence runner - create executor cmake to build runner separately from hifi - update to cmake builder script for the cpu runner - add slice_util to reference ops because its missing - disabled __attribute__((always_inline)) in reference kernel because of {F1886927939} Differential Revision: D63284100
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This pull request was exported from Phabricator. Differential Revision: D63284100 |
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This pull request has been merged in 7ab977e. |
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Differential Revision: D63284100