code: def _build_embedding_layer(self):
      return Embedding1dLayer(
          continuous_dim=self.n_continuous_features,
          categorical_embedding_dims=self.cat_embedding_dims,
          embedding_dropout=self.embedding_dropout,
          batch_norm_continuous_input=self.batch_norm_continuous_input,
          virtual_batch_size=self.virtual_batch_size,
      )
  
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 3 for calling the GatedAdditiveTreesBackbone obj's underlying member method code with example usage: obj._build_embedding_layer() and returns: Embedding1dLayer