code: def round_width(
      width, multiplier, min_width=1, divisor=1, verbose=False
  ):
      if not multiplier:
          return width
      width *= multiplier
      min_width = min_width or divisor
      if verbose:
          logger.info(f"min width {min_width}")
          logger.info(f"width {width} divisor {divisor}")
          logger.info(
              f"other {int(width + divisor / 2) // divisor * divisor}"
          )
  
      width_out = max(
          min_width, int(width + divisor / 2) // divisor * divisor
      )
      if width_out < 0.9 * width:
          width_out += divisor
      return int(width_out)
  
file_path: SlowFast/slowfast/models/utils.py
imports: import numpy
  import torch
  import slowfast.utils.logging
label_desc: Use image node_id 1 for calling a global function with example usage: round_width(width, multiplier, min_width, divisor, verbose) and returns: int, width