[Executorch][Export][3/N] Add timing information to all the stages for debugging

[abhinaykukkadapu]

Stack from ghstack (oldest at bottom):

• [Executorch][Export][5/N] Remove portable lib dependency in et/export #16130
• [Executorch][Export][4/N] Add edge program transform stage which runs after to_edge() stage #16129
• -> [Executorch][Export][3/N] Add timing information to all the stages for debugging #16128
• [Executorch][Export][2/N] Add getter utils to help with getting the artifacts easily #16127
• [Executorch][Export][1/n] Add exported program and GraphModule as inputs, validation and tests #16126

Add timing instrumentation to all export pipeline stages helps with identifying the long running stages.

Differential Revision: D87576724

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16128

• 📄 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, 1 Unrelated Failure

As of commit e050a90 with merge base 53c6ad2 ():

NEW FAILURES - The following jobs have failed:

• pull / unittest-editable / macos / macos-job (gh)
  export/tests/test_target_recipes.py::TestTargetRecipes::test_mv3_model
• Test CUDA Builds / test-model-cuda-e2e (mistralai, Voxtral-Mini-3B-2507, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 8f47bb25aadcc75501d5fe5e5623b9d1b1c23b4c48296f65b7bbe1bf27060841 /exec failed with exit code 1

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

• pull / android / run-emulator (gh) (#16137)
  Timeout waiting for emulator to boot.

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.