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 set_grad_checkpointing(self, enable=True):
      assert not enable, "gradient checkpointing not supported"
  
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 3 for calling the Xception obj's underlying member method code with example usage: obj.set_grad_checkpointing(enable) without return types