Removed support for non-per-tensor quantized relu #14788
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added 5 commits
October 3, 2025 14:47
Summary: Continued support for custom cadence ops. Reviewed By: hsharma35, eigen-k Differential Revision: D83709868
Summary: The default for padding was incorrect, adding default with the correct dtype Differential Revision: D83873533
…ariants Summary: Fix to just call the per tensor variants for quantized conv and quantized relu, since those are the only ones we are supporting. Differential Revision: D83873738
Summary: The original pass didn't fetch the user-provided zero point if it existed, it just assumed a hard-coded zero point. Fixed now. Differential Revision: D83873937
Summary: Not supporting quantized relu default, so removing it from ref_implementations Differential Revision: D83874866
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14788
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 1 Cancelled JobAs of commit 4927981 with merge base b021fd0 ( NEW FAILURES - The following jobs have failed:
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Summary: Not supporting quantized relu default, so removing it from ref_implementations Differential Revision: D83874866
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Summary: Not supporting quantized relu default, so removing it from ref_implementations
Differential Revision: D83874866