code: def __init__(
      self,
      output_dimension: _typing.Optional[int] = ...,
      device: _typing.Union[torch.device, str, int, None] = ...,
      *args,
      **kwargs,
  ):
      super(BaseDecoderMaintainer, self).__init__(
          device, *args, **kwargs
      )
      self.output_dimension = output_dimension
      self._decoder: _typing.Optional[torch.nn.Module] = None
  
file_path: AutoGL/autogl/module/model/decoders/base_decoder.py
imports: import torch
  import typing
  from ...hpo import AutoModule
  from ..encoders import base_encoder
label_desc: Use image node_id 3 to create a new BaseDecoderMaintainer object from inherited base classes: AutoModule with example: obj = BaseDecoderMaintainer(output_dimension, device)