Enable model based selective build on xplat

[larryliu0820]

Summary:
As titled. This is to be able to build things like:

 manifold_get(
        name = "asr_cpu_model",
        out = "asr.ff",
        api_key = "speech_pytorch_edge_models-key",
        artifact_path = "tree/resources/asr/speech_tuna_supernova_ondevice_en_us_fakequant_9647d4e983236f0769d804556f648380/1740444706624/asr.ff",
        bucket_name = "speech_pytorch_edge_models",
        sha1 = "4104089609f4d73f7c5d44d33f3a0e86636bd526",
        timeout_msec = 100000000,
        visibility = ["PUBLIC"],
    )

    # This should give you a list of operators that are being used in model.pte, along with dtype information.
    et_operator_library(
        name = "asr_model_ops",
        model = ":asr_cpu_model",
    )

In xplat.

Reviewed By: seayoung1112

Differential Revision: D71070646

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/9205

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✅ You can merge normally! (1 Unrelated Failure)

As of commit e61cd6b with merge base 791fe7f ():

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

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

• pull / unittest-arm / linux-job (gh) (trunk failure)
  backends/arm/test/models/test_conformer.py::TestConformer::test_conformer_tosa_MI

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[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D71070646

[iseeyuan]

LGTM