code: def __init__(self, representation_size: int):
      super().__init__()
      self.__weights_layer = nn.Linear(
          representation_size, 1, bias=False
      )
  
imports: from typing_extensions import Literal
  import torch
  from abc import abstractmethod
  from math import sqrt
  from torch import nn
  from torch_scatter import scatter, scatter_log_softmax, scatter_sum
  from typing import NamedTuple, Union
label_desc: Use image node_id 1 to create a new WeightedSumVarSizedElementReduce object from inherited base classes: AbstractVarSizedElementReduce with example: obj = WeightedSumVarSizedElementReduce(representation_size)