Generic numeric debugging

[metascroy]

Differential Revision: D103956056

[pytorch-bot]

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❌ 4 New Failures, 2 Unrelated Failures

As of commit 4ef4ff5 with merge base 0f9de6a ():

NEW FAILURES - The following jobs have failed:

• pull / unittest / linux / linux-job (gh)
  devtools/intermediate_output_tap/tests/test_reducers.py::ReducersTest::test_get_reducer_passthrough
• pull / unittest / windows / windows-job (gh)
  devtools/intermediate_output_tap/tests/test_reducers.py::ReducersTest::test_get_reducer_passthrough
• pull / unittest-editable / linux / linux-job (gh)
  devtools/intermediate_output_tap/tests/test_reducers.py::ReducersTest::test_get_reducer_passthrough
• pull / unittest-editable / windows / windows-job (gh)
  devtools/intermediate_output_tap/tests/test_reducers.py::ReducersTest::test_get_reducer_passthrough

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

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

• pull / unittest / macos / macos-job (gh) (trunk failure)
  ##[error]The operation was canceled.
• pull / unittest-editable / macos / macos-job (gh) (trunk failure)
  ##[error]The operation was canceled.

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[meta-codesync]

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[meta-codesync]

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[digantdesai]

what happens if the delegate have to fuse some candidate nodes? Try lowering conv2d-->batch_norm, where XNNPACK doesn't support standalone batch_norm IIRC.
Also how is it better than forced-single-op-partitions?