Update ARM CPU experimental kernels from AO to leverage pip install

[metascroy]

• torchao experimental CPU kernels are now installed and loaded automatically by pip.
• Switch quantization to use new quantize_ API

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchchat/1458

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❌ 5 New Failures, 2 Cancelled Jobs

As of commit 7707970 with merge base 07768cf ():

NEW FAILURES - The following jobs have failed:

• pull / runner-et (macos-14-xlarge) (gh)
  Process completed with exit code 2.
• pull / test-build-runner-et-android / linux-job (gh)
  RuntimeError: Command docker exec -t 7df78c86f62608d31318caab87d9024f1552a00168d3e4d22c4e502713007c59 /exec failed with exit code 1
• pull / test-tinystories-executorch (macos-14-xlarge) (gh)
  Process completed with exit code 2.
• pull / test-torchao-experimental-cpp (macos-14-xlarge) (gh)
  Process completed with exit code 2.
• pull / test-torchao-experimental-mps (macos-m1-stable) (gh)
  Process completed with exit code 134.

CANCELLED JOBS - The following jobs were cancelled. Please retry:

• pull / runner-et (16-core-ubuntu) (gh)
  ##[error]The operation was canceled.
• pull / test-tinystories-executorch (16-core-ubuntu) (gh)
  ##[error]The operation was canceled.

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[Jack-Khuu]

Thanks for making the pip install work with the subclass APIs!!

[Jack-Khuu]

Is there a specific case we are anticipating here?

[metascroy]

If using this on cuda machine of x86 machine

[Jack-Khuu]

cc: @manuelcandales

Can have please for MPS? 🥺🥺 (Separate PR)

[Jack-Khuu]

Awaiting pytorch/executorch#7759