CoreML partitioner improvements

[metascroy]

This creates several improvements for the CoreML partitioner:

• We now log when nodes are skipped for partitioning and the reason they are skipped.
• We add new partitioner option lower_full_graph that raises Exception if the model cannot be fully delegated. In future, when this option is enabled we plan to support additional CoreML features like enumerated shapes.
• We add take_over_constant_data option to tell CoreML delegate to not consume weight data.

[pytorch-bot]

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❌ 2 New Failures

As of commit 06c3541 with merge base dd4488d ():

NEW FAILURES - The following jobs have failed:

• pull / test-eval_llama-mmlu-linux / linux-job (gh)
  RuntimeError: Command docker exec -t 0165024dce347e956d5343a1392740e8b12fd145d3ee57824e4dca1709e54371 /exec failed with exit code 1
• pull / unittest-nxp-neutron / linux-job (gh)
  RuntimeError: Command docker exec -t 8d088f867b1de333e785256abb365e33662606a32988d3fec72ee6533f72aee7 /exec failed with exit code 127

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[metascroy]

@JacobSzwejbka this adds take_over_constant_data to partitioner. If you don't want CoreML to consume the weights, you can set it to False.