support for cadence platform QAT

[rezaasjd]

Summary: Adds support for QAT variant of the cadence quantizer with fake quantizer as wrappers

Differential Revision: D99712539

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18746

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❌ 1 Awaiting Approval, 3 New Failures, 1 Cancelled Job, 1 Unrelated Failure

As of commit 4f492a6 with merge base 38c5ca3 ():

AWAITING APPROVAL - The following workflow needs approval before CI can run:

• Lint (gh)

NEW FAILURES - The following jobs have failed:

• Cadence Build & Test / cpu-test / test-ops / test-ops (gh)
  examples/cadence/operators/test_g3_ops.py::ATenOpTestCases::test_g3_neg_out_7
• pull / unittest / macos / macos-job (gh)
  export/tests/test_target_recipes.py::TestTargetRecipes::test_mv3_model
• pull / unittest-editable / macos / macos-job (gh)
  export/tests/test_target_recipes.py::TestTargetRecipes::test_mv3_model

CANCELLED JOB - The following job was cancelled. Please retry:

• pull / unittest-editable / windows / windows-job (gh)

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 / windows / windows-job (gh) (trunk failure)
  ##[error]The operation was canceled.

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[meta-codesync]

@rezaasjd has exported this pull request. If you are a Meta employee, you can view the originating Diff in D99712539.

[github-actions]

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