class_docstr: Xception optimized for the ImageNet dataset, as specified in
  https://arxiv.org/pdf/1610.02357.pdf
class_docstr_tok: ["Xception","optimized","for","the","ImageNet","dataset",",","as","specified","in","https",":","\/\/arxiv.org\/pdf\/1610.02357.pdf"]
code: def logits(self, features):
      x = nn.ReLU(inplace=True)(features)
  
      x = F.adaptive_avg_pool2d(x, (1, 1))
      x = x.view(x.size(0), -1)
      x = self.last_linear(x)
      return x
  
imports: from __future__ import print_function, division, absolute_import
  import math
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
  from torch.nn import init
label_desc: Use image node_id 3 for calling the Xception obj's underlying member method code with example usage: obj.logits(features) and returns: x