Add export script for hg optimum ga models

[metascroy]

Summary

[PLEASE REMOVE] See CONTRIBUTING.md's Pull Requests for ExecuTorch PR guidelines.

[PLEASE REMOVE] If this PR closes an issue, please add a Fixes #<issue-id> line.

[PLEASE REMOVE] If this PR introduces a fix or feature that should be the upcoming release notes, please add a "Release notes: " label. For a list of available release notes labels, check out CONTRIBUTING.md's Pull Requests.

Test plan

[PLEASE REMOVE] How did you test this PR? Please write down any manual commands you used and note down tests that you have written if applicable.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12281

• 📄 Preview Python docs built from this PR

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

❌ 2 New Failures, 2 Unrelated Failures

As of commit 0648b9c with merge base d952326 ():

NEW FAILURES - The following jobs have failed:

• Lint / android-java-format / linux-job (gh)
  RuntimeError: Command docker exec -t 4d661f2023b6c91d797458034288fd27b6472dc5e8939b12256cd4bdc20aae59 /exec failed with exit code 1
• Lint / lintrunner / linux-job (gh)
  >>> Lint for examples/apple/coreml/scripts/export_et_optimum_model.py:

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

• pull / test-models-linux (mobilebert, portable, linux.2xlarge) / linux-job (gh) (similar failure)
  ##[error]The operation was canceled.

BROKEN TRUNK - The following job failed but was present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• pull / test-models-linux (mobilebert, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh) (trunk failure)
  ##[error]The operation was canceled.

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.

[metascroy]

@guangy10 is there a way to get the PTE file from this model?

[guangy10]

Today it's generating the PTE to a temp dir if export=True (the default) is passed to the API. I think you can print the path by setting logging level to INFO and copy the PTE back, or you can use optimum-cli export executorch to generate the PTE to the specified dest.

[metascroy]

If I use optimum-cli, how can I pass the pte file to something like ExecuTorchModelForMaskedLM to test the model?