[Auto] Pass weight and label_smoothing to fixed_cross_entropy (cluster-43240-3): merged 1 of 2 PRs

[evalstate]

Cluster: cluster-43240-3

Merged:

• Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251: Merged cleanly; forwards weight and label_smoothing through fixed_cross_entropy and had stronger review signal.

Skipped:

• Add supported kwargs to fixed_cross_entropy huggingface/transformers#43254: Competing near-duplicate of Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251; conflicted in src/transformers/loss/loss_utils.py and added no substantive behavior beyond the merged change.

Failed:

• None.

Notes:

• Cluster contained issue kwargs are not passed to loss calculation function. huggingface/transformers#43240 and PRs Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251 and Add supported kwargs to fixed_cross_entropy huggingface/transformers#43254.
• Issue kwargs are not passed to loss calculation function. huggingface/transformers#43240 was closed by stale automation, not by an integrating fix, so the cluster still had merit.
• Both PRs target the same fixed_cross_entropy bug and modify the same hunk in src/transformers/loss/loss_utils.py.
• PR Add supported kwargs to fixed_cross_entropy huggingface/transformers#43254 was attempted after merging Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251, produced a same-hunk content conflict, and was aborted cleanly.
• Final branch diff vs origin/main only changes src/transformers/loss/loss_utils.py.
• Validation run: python -m py_compile src/transformers/loss/loss_utils.py

Next steps:

• Review the local merge commit for PR Fix(43240): pass kwargs to nn.functional.cross_entropy huggingface/transformers#43251.
• If desired, run make style and targeted tests around loss_utils in a torch-enabled environment.
• Treat PR Add supported kwargs to fixed_cross_entropy huggingface/transformers#43254 as superseded unless maintainers explicitly prefer its signature/style.

AI assistance was used for this branch preparation.