code: def __init__(self, config: DictConfig, **kwargs):
      super().__init__(config, **kwargs)
  
imports: import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.heads import blocks
  from pytorch_tabular.models.common.layers import Add, Embedding1dLayer, GatedFeatureLearningUnit, NeuralDecisionTree
  from pytorch_tabular.models.common.layers.activations import entmax15, entmoid15, sparsemax, sparsemoid, t_softmax
  from pytorch_tabular.utils import get_logger
  from ..base_model import BaseModel
label_desc: Use image node_id 1 to create a new GatedAdditiveTreeEnsembleModel object from inherited base classes: BaseModel with example: obj = GatedAdditiveTreeEnsembleModel(config)