code: def scale_depth(num_repeats, depth_coefficient):
      """
      Calculates the scaled number of repeats based on the depth coefficient.
      """
      if not depth_coefficient:
          return num_repeats
      return int(math.ceil(depth_coefficient * num_repeats))
  
imports: import copy
  import math
  from collections import OrderedDict
  from typing import Any, Dict, NamedTuple, Optional
  import torch
  import torch.nn
  from classy_vision.generic.util import get_torch_version
  from classy_vision.models import ClassyModel, register_model
label_desc: Use image node_id 4 for calling a global function with example usage: scale_depth(num_repeats, depth_coefficient) and returns: int, num_repeats