code: def round_channels(
      channels,
      multiplier=1.0,
      divisor=8,
      channel_min=None,
      round_limit=0.9,
  ):
      """Round number of filters based on depth multiplier."""
      if not multiplier:
          return channels
      return make_divisible(
          channels * multiplier,
          divisor,
          channel_min,
          round_limit=round_limit,
      )
  
imports: import logging
  import math
  import re
  from copy import deepcopy
  from functools import partial
  from typing import Any, Dict, List
  import torch.nn
  from ._efficientnet_blocks import *
  from timm.layers import CondConv2d, get_condconv_initializer, get_act_layer, get_attn, make_divisible
label_desc: Use image node_id 4 for calling a global function with example usage: round_channels(channels, multiplier, divisor, channel_min, round_limit) and returns: make_divisible, channels