code: def output_dim(self):
      if (
          self.mode == "finetune"
          and self.hparams.include_input_features_inference
      ):
          return (
              self._featurizer.encoder.output_dim
              + self.hparams.encoder_config._backbone_input_dim
          )
      else:
          return self._featurizer.encoder.output_dim
  
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 13 for calling the DenoisingAutoEncoderModel obj's underlying member method code with example usage: obj.output_dim() and returns: unknown, self