Arm backend: Stabilize MobileNetV3 fp16 TOSA test#19590
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This patch fixes a flaky MobileNetV3 fp16 TOSA test caused by unseeded random input data and a tolerance that was slightly too tight for observed fp16 backend differences. The test input is now generated with a local fixed torch.Generator so the model comparison is deterministic across runs. The fp16 absolute tolerance is relaxed from 5e-2 to 6e-2, covering the observed maximum absolute error while keeping the check narrow. The regression was verified with the targeted MobileNetV3 fp16 TOSA pytest case. Signed-off-by: Baris Demir <baris.demir@arm.com> Change-Id: Ie89950adc108fd2d93763e75b28c8668f7435ab8
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19590
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: ❌ 2 New Failures, 1 Cancelled Job, 3 Unrelated FailuresAs of commit 8b6ff2e with merge base 803e47d ( NEW FAILURES - The following jobs have failed:
CANCELLED JOB - The following job was cancelled. Please retry:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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zingo
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May 15, 2026
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