code: def _round_value(value, binary=False):
      divisor = 1024.0 if binary else 1000.0
  
      if value // divisor**4 > 0:
          return str(round(value / divisor**4, 2)) + "T"
      elif value // divisor**3 > 0:
          return str(round(value / divisor**3, 2)) + "G"
      elif value // divisor**2 > 0:
          return str(round(value / divisor**2, 2)) + "M"
      elif value // divisor > 0:
          return str(round(value / divisor, 2)) + "K"
      return str(value)
  
file_path: tensorwatch/tensorwatch/model_graph/torchstat_utils.py
imports: from .torchstat import analyzer
  import pandas
  import copy
label_desc: Use image node_id 2 for calling a global function with example usage: _round_value(value, binary) and returns: str, unknown, unknown, unknown, unknown