RЦi SrSSKrSSKJrJrJrJr SSKrSSKJ r SSK J r \R"\ 5r"SS\ 5rg)zClassification training task.N)CallableDictOptionalUnion) TrainingTaskc .^\rSrSrSrSS\R S\\R \4S\ \ RS\ \ RS\ 4 U4SjjjrSS \ \S S4S jjrS \ R"S \ R"S \\\ R"44SjrSrU=r$)ClassificationTask a Standard supervised classification task. Simple task that performs a forward pass through the model and computes the classification loss. Args: model: The model to train criterion: Loss function (e.g., CrossEntropyLoss) device: Device for task tensors/buffers dtype: Dtype for task tensors/buffers verbose: Enable info logging Example: >>> task = ClassificationTask(model, nn.CrossEntropyLoss(), device=torch.device('cuda')) >>> result = task(input, target) >>> result['loss'].backward() model criteriondevicedtypeverbosec>[TU]X4US9 XlX lUR(aB[ USS5=(d [ U5Rn[RSU35 gg)N)rrr__name__zClassificationTask: criterion=) super__init__r r rgetattrtyper_loggerinfo)selfr r rrr loss_name __class__s W/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/timm/task/classification.pyrClassificationTask.__init__ s^ WE " << :t<XY@X@XI LL9)E F  device_idsreturnc FSSKJn U"UR4SU0UD6UlU$)aPrepare 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_distributed&ClassificationTask.prepare_distributed0s' EI IjI  rinputtargetcPURU5nURX25nUUS.$)zForward pass through model and compute classification loss. Args: input: Input tensor [B, C, H, W] target: Target labels [B] Returns: Dictionary containing: - 'loss': Classification loss - 'output': Model logits )lossoutput)r r )rr(r)r,r+s rforwardClassificationTask.forwardDs2 E"~~f-  r)r r )NNT)N)r __module__ __qualname____firstlineno____doc__nnModulerrrtorchrrboolrlistr&Tensorrstrr-__static_attributes__ __classcell__)rs@rr r s,.2+/ G99GRYY01GU\\* G EKK( G  GG$*.   ( << LL  c5<<   rr )r2loggingtypingrrrrr5torch.nnr3taskr getLoggerrrr rrrBs8#22    H %M M r