code: def _mcfg(**kwargs):
      cfg = dict(se_ratio=0.0, bottle_ratio=1.0, stem_width=32)
      cfg.update(**kwargs)
      return cfg
  
imports: from typing import Optional
  import numpy
  import torch
  import torch.nn
  from torch import Tensor
label_desc: Use image node_id 2 for calling a global function with example usage: _mcfg() and returns: cfg