code: def _alexnet_split(m: nn.Module):
      return L(m[0][0][:6], m[0][0][6:], m[1:]).map(params)
  
imports: from __future__ import annotations
  from packaging.version import parse
  from ..basics import *
  from .core import *
  from .data import *
  from .augment import *
  from .None import models
  import torchvision
  from ..callback.hook import num_features_model
label_desc: Use image node_id 15 for calling a global function with example usage: _alexnet_split(m) and returns: L