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,
      )
  
file_path: pytorch_tabular/src/pytorch_tabular/models/danet/danet.py
imports: import warnings
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers.embeddings import Embedding1dLayer
  from ..base_model import BaseModel
  from .arch_blocks import BasicBlock
label_desc: Use image node_id 3 for calling the DANetBackbone obj's underlying member method code with example usage: obj._build_embedding_layer() and returns: Embedding1dLayer