code: def adjust_channels(channels: int, width_coefficient: float):
      return _make_divisible(channels * width_coefficient, 8)
  
imports: import math
  import copy
  from functools import partial
  from collections import OrderedDict
  from typing import Optional, Callable
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the InvertedResidualConfig obj's underlying member method code with example usage: obj.adjust_channels(channels, width_coefficient) and returns: _make_divisible