code: def _build_embedding_layer(self):
      return MixedEmbedding1dLayer(
          continuous_dim=self.config.continuous_dim,
          categorical_embedding_dims=self.config.embedding_dims,
          max_onehot_cardinality=self.config.max_onehot_cardinality,
          embedding_dropout=self.config.embedding_dropout,
          batch_norm_continuous_input=self.config.batch_norm_continuous_input,
          virtual_batch_size=self.config.virtual_batch_size,
      )
  
imports: from collections import namedtuple
  from typing import Dict
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from ..base_model import SSLBaseModel
  from ..common.heads import MultiTaskHead
  from ..common.layers import MixedEmbedding1dLayer
  from ..common.noise_generators import SwapNoiseCorrupter
label_desc: Use image node_id 3 for calling the DenoisingAutoEncoderFeaturizer obj's underlying member method code with example usage: obj._build_embedding_layer() and returns: MixedEmbedding1dLayer