Update addmm int16 for Ethos-U85 #14714
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14714
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 6e5764c with merge base 53ccfd0 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Summary: Adjust op_bmm to allow int16 types with int48 output buffer Note: I am rescaling back to the original int16 dtype output. This is obviously dangerous if done without a properly calibrated quantization parameter, but this is our base assumption. Differential Revision: D83627934
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Summary: Adjust op_bmm to allow int16 types with int48 output buffer Note: I am rescaling back to the original int16 dtype output. This is obviously dangerous if done without a properly calibrated quantization parameter, but this is our base assumption. Differential Revision: D83627934
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Summary: Adjust op_bmm to allow int16 types with int48 output buffer Note: I am rescaling back to the original int16 dtype output. This is obviously dangerous if done without a properly calibrated quantization parameter, but this is our base assumption. Reviewed By: digantdesai Differential Revision: D83627934
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Summary: Adjust op_bmm to allow int16 types with int48 output buffer Note: I am rescaling back to the original int16 dtype output. This is obviously dangerous if done without a properly calibrated quantization parameter, but this is our base assumption. Reviewed By: digantdesai Differential Revision: D83627934
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Summary: Adjust op_bmm to allow int16 types with int48 output buffer Note: I am rescaling outputs back to the original int16 dtype output. This is obviously dangerous if done without a properly calibrated quantization parameter, but this is our base assumption. bypass-github-export-checks bypass-github-pytorch-ci-checks bypass-github-executorch-ci-checks Reviewed By: digantdesai Differential Revision: D83627934
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Summary:
Adjust op_bmm to allow int16 types with int48 output buffer
Note: I am rescaling back to the original int16 dtype output. This is obviously dangerous if done without a properly calibrated quantization parameter, but this is our base assumption.
Differential Revision: D83627934