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 forward_features(self, x):
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.act1(x)
  
      x = self.conv2(x)
      x = self.bn2(x)
      x = self.act2(x)
  
      x = self.block1(x)
      x = self.block2(x)
      x = self.block3(x)
      x = self.block4(x)
      x = self.block5(x)
      x = self.block6(x)
      x = self.block7(x)
      x = self.block8(x)
      x = self.block9(x)
      x = self.block10(x)
      x = self.block11(x)
      x = self.block12(x)
  
      x = self.conv3(x)
      x = self.bn3(x)
      x = self.act3(x)
  
      x = self.conv4(x)
      x = self.bn4(x)
      x = self.act4(x)
      return x
  
imports: import torch.jit
  import torch.nn
  import torch.nn.functional
  from timm.layers import create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs, register_model_deprecations
label_desc: Use image node_id 6 for calling the Xception obj's underlying member method code with example usage: obj.forward_features(x) and returns: x