code: def forward(self, x, hist_n_id):
      his_outbatch_emb = self.pull(hist_n_id)
      h_bar_out_batch = (
          self.gamma * x + (1.0 - self.gamma) * his_outbatch_emb
      )
      self.push(h_bar_out_batch, n_id=hist_n_id)
  
file_path: DIG/dig/lsgraph/method/FM.py
imports: import torch
  from torch import nn, Tensor
  from typing import Optional
label_desc: Use image node_id 6 for calling the FeatureMomentum obj's underlying member method code with example usage: obj.forward(x, hist_n_id) without return types