Reduce log noise

[lucylq]

copy of #16877 ..

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16879

• 📄 Preview Python docs built from this PR

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

❌ 1 New Failure, 4 Pending, 1 Unrelated Failure

As of commit b0f8c46 with merge base b729d35 ():

NEW FAILURE - The following job has failed:

• pull / android / run-emulator (gh)
  The process '/opt/android/sdk/platform-tools/adb' failed with exit code 224

FLAKY - The following job failed but was likely due to flakiness present on trunk:

• pull / test-models-linux (emformer_transcribe, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)

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

[github-actions]

This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "release notes: none"

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

[Copilot]

Pull request overview

This PR reduces log noise by simplifying an error message that previously included potentially large binary buffer data. The change removes the actual buffer contents from the ValueError message when duplicate keys with different data are detected, keeping only the key identifier.

Changes:

• Simplified error message in NamedDataStore to exclude potentially large binary buffer data while retaining the duplicate key name

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.