code: def __init__(self, encoder, config: DictConfig, **kwargs):
      super().__init__()
      self.encoder = encoder
      self.config = config
      self.pick_keys = [
          "binary",
          "categorical",
          "continuous",
          "embedding",
      ]
      self._build_network()
  
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 1 to create a new DenoisingAutoEncoderFeaturizer object from inherited base classes: nn with example: obj = DenoisingAutoEncoderFeaturizer(encoder, config)