code: def forward(self, low_feature, *high_features):
      high_features = reversed(high_features)
  
      low_feature = self.seb[0](high_features[0]) * high_features[1]
      for c in range(1, len(high_features)):
          high_feature = self.sebs[c](high_features[c])
          low_feature *= high_feature
  
      return low_feature
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the SEB obj's underlying member method code with example usage: obj.forward(low_feature) and returns: low_feature