code: def _get_first_layer(m):
      "Access first layer of a model"
      c, p, n = m, None, None  # child, parent, name
      for n in next(m.named_parameters())[0].split(".")[:-1]:
          p, c = c, getattr(c, n)
      return c, p, n
  
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 3 for calling a global function with example usage: _get_first_layer(m) and returns: c,  p,  n