class_docstr: Profiling information about a single function.
class_docstr_tok: ["Profiling","information","about","a","single","function","."]
code: def cpu_time_total(self):
      if self.device_type == DeviceType.CPU:
          return self.time_range.elapsed_us()
      else:
          return 0
  
imports: import bisect
  import itertools
  import math
  from collections import defaultdict, namedtuple
  from operator import attrgetter
  from typing import Any, Dict, List, Optional, Tuple
  import torch
  from torch.autograd import DeviceType
label_desc: Use image node_id 11 for calling the FunctionEvent obj's underlying member method code with example usage: obj.cpu_time_total() and returns: self, int