[Auto] Refactor GPT-Neo output tracing (cluster-44018-2): merged 1 of 2 PRs

[evalstate]

Cluster: cluster-44018-2

Merged:

• Refactor GPT-Neo to use @capture_outputs and @can_return_tuple decorators huggingface/transformers#44068 — Merged locally as the canonical cluster PR; resolved one conflict in src/transformers/models/gpt_neo/modeling_gpt_neo.py by preserving current cache_position plumbing while applying the decorator-based refactor.

Skipped:

• Refactor GPT-Neo output tracing to use capture_outputs/can_return_tuple huggingface/transformers#44018 — Skipped as a near-duplicate of Refactor GPT-Neo to use @capture_outputs and @can_return_tuple decorators huggingface/transformers#44068 touching the same GPT-Neo files with almost identical refactor scope.

Failed:

• None.

Notes:

• Cluster contained two highly similar open PRs for the same GPT-Neo output tracing refactor.
• Meta-issue Call to contributions: refactor output tracing in transformers huggingface/transformers#43979 is closed, but the GPT-Neo refactor was not yet present on origin/main, so the change still had merit.
• Fetched PR heads from the upstream remote because origin did not expose refs/pull//head.
• Validation completed with python -m py_compile on the modified model and test files.
• Full pytest execution was not possible because pytest is not installed in this environment.
• Merge commit on this branch: aab3d37.

Next steps:

• If fuller validation is needed, run GPT-Neo tests in an environment with pytest installed.
• Optionally run make style or make check-repo before downstream handoff.

AI assistance was used for the local merge and conflict resolution.