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
  
file_path: pywick/pywick/models/classification/xception1.py
imports: import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
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