code: def __init__(
      self, model, pretrained: bool = True, cut=None, n_in: int = 3
  ):
      super().__init__()
      self.needs_pool = (
          model.default_cfg.get("pool_size", None) is not None
      )
      self.model = model if cut is None else cut_model(model, cut)
  
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 1 to create a new TimmBody object from inherited base classes: nn with example: obj = TimmBody(model, pretrained, cut, n_in)