code: def forward(
      self, inputs: ElementsToSummaryRepresentationInput
  ) -> torch.Tensor:
      return scatter(
          src=inputs.element_embeddings,
          index=inputs.element_to_sample_map,
          dim=0,
          dim_size=inputs.num_samples,
          reduce=self.__summarization_type,
      )
  
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 2 for calling the SimpleVarSizedElementReduce obj's underlying member method code with example usage: obj.forward(inputs) and returns: scatter