Arm backend: support torch.sum.default #15380
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When sum is called without arguments, it is traced as sum.default rather than sum.dim_IntList, which 1) is lowered to edge with dims=[] instead of None, and 2) is not annotated in the quantizer. This commit fixes those issues and adds tests. Signed-off-by: Erik Lundell <[email protected]> Change-Id: Ic9ae84c62a713f136de7bff2594bacbdfc759995
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15380
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 1 New Failure, 2 Unrelated FailuresAs of commit 295e014 with merge base ed91b6a ( 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 job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@Erik-Lundell this has a tests fail in test-arm-backed (test_model_ethos-u55) something to fix or retrigger? |
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This will probably go awaiw with a rebase trunk / test-mcu-models (cmake) |
zingo
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Oct 30, 2025
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When sum is called without arguments,
it is traced as sum.default rather than sum.dim_IntList, which 1) is lowered to edge with dims=[] instead of None, and 2) is not annotated in the quantizer.
This commit fixes those issues and adds tests.
cc @freddan80 @per @zingo @oscarandersson8218 @digantdesai