+ œ°³j| ãó €Rt^RIHt^RIt^RIHtHtHtHtH t H t H t H t H t HtHtHtHtHtHtHtHtHtHtHtHt^RIHt]t] t] tRt.ROt R#)zŽBackward-compatibility shim for the tensor parallel API. The canonical implementation lives in ``transformers.distributed.tensor_parallel``. )Ú annotationsN)ÚALL_PARALLEL_STYLESÚAllReduceParallelÚColwiseParallelÚEpRouterParallelÚMlaKvAProjParallelÚMoeExpertsParallelÚMoeIdentityParallelÚ MoEParamShardÚMoeTensorParalellMegaMoeExpertsÚPackedColwiseParallelÚPackedRowwiseParallelÚParallelInterfaceÚReplicatedWithGradAllReduceÚRouterParallelMegaMoeÚRowwiseParallelÚSequenceParallelÚTensorParallelLayerÚapply_tensor_parallelismÚgather_state_dict_for_saveÚ replace_layer_number_by_wildcardÚverify_tp_plan)Úinitialize_tensor_parallelismcóR€\P!R\^R7\R4h)zIDeprecated per-parameter sharding helper from the legacy TP loading path.zä`shard_and_distribute_module` is deprecated and unavailable with the DTensor tensor-parallel loading path. Use `transformers.distributed.tensor_parallel.apply_tensor_parallelism` with `from_pretrained(..., tp_plan=...)` instead.)Ú stacklevelz[`shard_and_distribute_module` is unavailable with the DTensor tensor-parallel loading path.)ÚwarningsÚwarnÚ FutureWarningÚ RuntimeError)ÚargsÚkwargss*,Új/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/integrations/tensor_parallel.pyÚshard_and_distribute_moduler"6s)€ä ‡M‚Mð 7ô Øõ ô ÐtÓ uÐuó)rÚMoeIdentityExpertParallelÚMoeTensorParalellExpertsÚRouterParallelrrrrrrr r r r r rrrrrrrrrr"r)!Ú__doc__Ú __future__rrÚdistributed.tensor_parallelrrrrrrr r r r r rrrrrrrrrrÚdistributed.utilsrr&r$r%r"Ú__all__©r#r!Úr-sUðñõ #ã÷÷÷÷÷õõ.>ð"€Ø/ÐØ-Ðò vò ‚r#