code: def _initialize(self, *args, **kwargs) -> _typing.Optional[bool]:
      self._decoder = _LogSoftmaxDecoder().to(self.device)
      return True
  
imports: import torch.nn.functional
  import typing
  import torch_geometric
  from torch_geometric.nn.conv import GraphConv
  from torch_geometric.nn.pool import TopKPooling
  from torch_geometric.nn.glob import global_add_pool, global_max_pool, global_mean_pool
  from ...encoders import base_encoder
  from ..None import base_decoder, decoder_registry
  from ...None import _utils
label_desc: Use image node_id 1 for calling the LogSoftmaxDecoderMaintainer obj's underlying member method code with example usage: obj._initialize() and returns: True