code: def _xception(variant, pretrained=False, **kwargs):
      return build_model_with_cfg(
          Xception,
          variant,
          pretrained,
          feature_cfg=dict(feature_cls="hook"),
          **kwargs,
      )
  
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 1 for calling a global function with example usage: _xception(variant, pretrained) and returns: build_model_with_cfg