^j dZddlZddlmZmZmZmZddlZddlm Z ddl m Z eje ZGdde Zy)zClassification training task.N)CallableDictOptionalUnion) TrainingTaskc NeZdZdZ ddej deej efdee jdee jde f fd Z ddeed dfd Z dd ed eed ej fd Zde j$de j$d eee j$ffdZxZS)ClassificationTaska?Standard supervised classification task. Simple task that performs a forward pass through the model and computes the classification loss. Args: model: The model to train criterion: Loss function (e.g., CrossEntropyLoss) device: Device for task tensors/buffers dtype: Dtype for task tensors/buffers verbose: Enable info logging Example: >>> task = ClassificationTask(model, nn.CrossEntropyLoss(), device=torch.device('cuda')) >>> result = task(input, target) >>> result['loss'].backward() model criteriondevicedtypeverbosect||||||_||_|jr=t |ddxst |j}tjd|yy)N)r rr__name__zClassificationTask: criterion=) super__init__trainable_moduler rgetattrtyper_loggerinfo)selfr r r rr loss_name __class__s c/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/timm/task/classification.pyrzClassificationTask.__init__ se eWE %" << :t<XY@X@XI LL9)E F  device_idsreturnc Fddlm}||jfd|i||_|S)aKPrepare task for distributed training. Wraps the model in DistributedDataParallel (DDP). Args: device_ids: List of device IDs for DDP (e.g., [local_rank]) **ddp_kwargs: Additional arguments passed to DistributedDataParallel Returns: self (for method chaining) r)DistributedDataParallelr)torch.nn.parallelr!r)rr ddp_kwargsDDPs rprepare_distributedz&ClassificationTask.prepare_distributed0s+ E #D$9$9 _j _T^ _ rbackendmodec tj|jf||d||_|j|_|jS)z5Compile the classification model before DDP wrapping.)r&r')torchcompiler eval_model)rr&r'compile_kwargss rr*zClassificationTask.compileDsB!& d.C.C rW[_ rcq r//$$$rinputtargetcR|j|}|j||}||dS)a2Forward pass through model and compute classification loss. Args: input: Input tensor [B, C, H, W] target: Target labels [B] Returns: Dictionary containing: - 'loss': Classification loss - 'output': Model logits )lossoutput)rr )rr-r.r1r0s rforwardzClassificationTask.forwardPs6 &&u-~~ff-  r)NNT)N)inductorN)r __module__ __qualname____doc__nnModulerrrr)r rboolrlistr%strr*Tensorrr2 __classcell__)rs@rr r s,.2+/ G99GRYY01GU\\* G EKK( G  G$*.   ,&"& % %3- %  % << LL  c5<<  rr )r6loggingtypingrrrrr)torch.nnr7taskr getLoggerrrr rrrDs:#22  '  H %Y Y r