Lower confidence threshold in tests to avoid flakiness.

[shoumikhin]

Summary: .

Differential Revision: D66146583

[pytorch-bot[bot]]

:link: Helpful Links

:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6949

• :page_facing_up: Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

:heavy_exclamation_mark: 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

• [DomainsOnly] Jobs fail with GLIBC version not found

:x: 4 New Failures

As of commit 08d60635a7da369ddcbe6149af6ab527125d4ab3 with merge base 86cb5d79e2044608fa1d04f4ba9836cab254b9ee ():

NEW FAILURES - The following jobs have failed:

* [Apple / build-benchmark-app / macos-job](https://hud.pytorch.org/pr/pytorch/executorch/6949#33176371574) ([gh](https://github.com/pytorch/executorch/actions/runs/11905605487/job/33176371574)) `RuntimeError: Command bash /Users/runner/work/_temp/exec_script failed with exit code 1` * [Apple / build-demo-ios / macos-job](https://hud.pytorch.org/pr/pytorch/executorch/6949#33176371807) ([gh](https://github.com/pytorch/executorch/actions/runs/11905605487/job/33176371807)) * [Apple / upload-frameworks-ios](https://hud.pytorch.org/pr/pytorch/executorch/6949#33177143105) ([gh](https://github.com/pytorch/executorch/actions/runs/11905605487/job/33177143105)) `##[error]Credentials could not be loaded, please check your action inputs: Could not load credentials from any providers` * [Check Labels / Check labels](https://hud.pytorch.org/pr/pytorch/executorch/6949#33176377155) ([gh](https://github.com/pytorch/executorch/actions/runs/11905607952/job/33176377155))

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D66146583

[github-actions[bot]]

This PR needs a release notes: label

If your changes are user facing and intended to be a part of release notes, please use a label starting with release notes:.

If not, please add the topic: not user facing label.

To add a label, you can comment to pytorchbot, for example @pytorchbot label "topic: not user facing"

For more information, see https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.