code: def logits(self, x):
      x = self.avg_pool(x)
      if self.dropout is not None:
          x = self.dropout(x)
      x = x.view(x.size(0), -1)
      x = self.last_linear(x)
      return x
  
imports: from collections import OrderedDict
  import math
  from .mynn import Norm2d
  import torch.nn
  from torch.utils import model_zoo
label_desc: Use image node_id 4 for calling the SENet obj's underlying member method code with example usage: obj.logits(x) and returns: x