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 reset_classifier(self, num_classes, global_pool="avg"):
      self.num_classes = num_classes
      self.global_pool, self.fc = create_classifier(
          self.num_features, self.num_classes, pool_type=global_pool
      )
  
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 5 for calling the Xception obj's underlying member method code with example usage: obj.reset_classifier(num_classes, global_pool) without return types