Qualcomm AI Engine Direct - Refactor calibration flow

[shewu-quic]

Summary:

• Update calibration flow to enhance the speed of wikitext calibration

cc: @haowhsu-quic , @winskuo-quic

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13150

• 📄 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

As of commit c7700e6 with merge base c8a0706 ():

NEW FAILURE - The following job has failed:

• Build documentation / build (buck2) / Build doc (gh)
  At least one of the pre-conditions you specified did not hold

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.

[shewu-quic]

Hi @cccclai,
This PR is to enhance the speed of calibration with wikitext, AR-N chunk by AR-N chunk instead of original token by token.
Could you please help take a look?
Thanks

[facebook-github-bot]

@cccclai has imported this pull request. If you are a Meta employee, you can view this in D79958818.

[cccclai]

There seem to be merge conflict. Also, does the flow break evaluate_qnn_llama?

[shewu-quic]

There seem to be merge conflict. Also, does the flow break evaluate_qnn_llama?

Done, thanks. No, it should be speed up the evaluation for AR-N model. But for AR-1 (kv mode) should be the same.

[facebook-github-bot]

@cccclai has imported this pull request. If you are a Meta employee, you can view this in D79958818.