code: def _initialize(
      self,
      encoder: base_encoder.AutoHomogeneousEncoderMaintainer,
      *args,
      **kwargs,
  ) -> _typing.Optional[bool]:
      self._decoder = _TopKPoolDecoder(
          encoder.get_output_dimensions(),
          self.output_dimension,
          self.hyper_parameters["dropout"],
      ).to(self.device)
      return True
  
imports: import torch.nn.functional
  import typing
  import dgl
  from dgl.nn.pytorch.glob import SumPooling, AvgPooling, MaxPooling, SortPooling
  from ..None import base_decoder, decoder_registry
  from ...encoders import base_encoder
  from ...None import _utils
label_desc: Use image node_id 1 for calling the TopKDecoderMaintainer obj's underlying member method code with example usage: obj._initialize(encoder) and returns: True