[Auto] (gpt-5.5) Pass supported kwargs to fixed_cross_entropy (cluster-43240-3): merged 1 of 2 PRs

[evalstate]

Cluster: cluster-43240-3

Merged PRs:

• Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251: Merged locally cleanly; passes weight and label_smoothing through fixed_cross_entropy to nn.functional.cross_entropy.

Skipped PRs:

• Add supported kwargs to fixed_cross_entropy huggingface/transformers#43254: Functionally duplicates PR Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251; merge attempt conflicted in the same loss_utils.py hunk, so merge was aborted.

Failed PRs:

• None.

Notes:

• Issue kwargs are not passed to loss calculation function. huggingface/transformers#43240 is closed, apparently by stale automation rather than a merged fix, so the PR still had merit.
• Repository was left with local merge commit for PR Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251 and no unresolved merge state.
• python -m py_compile src/transformers/loss/loss_utils.py passed.
• Runtime torch check could not run because torch is not installed in the environment.
• AI assistance was used for this cluster merge run; human review/validation is required before upstream submission.

Next steps:

• Have a human maintainer review the local merge of PR Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251 before any upstream PR/update is opened.
• Run targeted loss tests or a torch-backed smoke test in an environment with torch installed.
• If preferring the maintainer-authored variant, compare PR Add supported kwargs to fixed_cross_entropy huggingface/transformers#43254 against the merged result, but do not merge both without resolving the duplicate implementation choice.

[evalstate]

Trace for this mergeability run: https://huggingface.co/datasets/evalstate/transformers-merge-experiments/blob/main/2604240023-EeZk0q__dev__codex.jsonl