code: def _build_embedding_layer(self):
      embedding = Embedding1dLayer(
          continuous_dim=self.hparams.continuous_dim,
          categorical_embedding_dims=self.hparams.embedding_dims,
          embedding_dropout=self.hparams.embedding_dropout,
          batch_norm_continuous_input=self.hparams.batch_norm_continuous_input,
          virtual_batch_size=self.hparams.virtual_batch_size,
      )
      return embedding
  
imports: import warnings
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers import Embedding1dLayer
  from pytorch_tabular.utils import get_logger
  from ..base_model import BaseModel
  from ..common import activations
  from ..common.layers import Lambda
  from .architecture_blocks import DenseODSTBlock
label_desc: Use image node_id 3 for calling the NODEBackbone obj's underlying member method code with example usage: obj._build_embedding_layer() and returns: embedding