code: def register_trainer(name):
      def register_trainer_cls(cls):
          if name in TRAINER_DICT:
              raise ValueError(
                  "Cannot register duplicate trainer ({})".format(name)
              )
          if not issubclass(cls, BaseTrainer):
              raise ValueError(
                  "Trainer ({}: {}) must extend BaseTrainer".format(
                      name, cls.__name__
                  )
              )
          TRAINER_DICT[name] = cls
          return cls
  
      return register_trainer_cls
  
file_path: AutoGL/autogl/module/train/__init__.py
imports: from ...backend import DependentBackend
  from .base import BaseTrainer, Evaluation, BaseNodeClassificationTrainer, BaseGraphClassificationTrainer, BaseLinkPredictionTrainer, BaseNodeClassificationHetTrainer
  from .graph_classification_full import GraphClassificationFullTrainer
  from .node_classification_full import NodeClassificationFullTrainer
  from .link_prediction_full import LinkPredictionTrainer
  from .node_classification_het import NodeClassificationHetTrainer
  from .evaluation import get_feval, Acc, Auc, Logloss, Mrr, MicroF1
label_desc: Use image node_id 1 for calling a global function with example usage: register_trainer(name) and returns: register_trainer_cls, cls