code: def _format_measure_tuple(measure: NamedTuple) -> NamedTuple:
      self_cpu_total = (
          format_time(measure.self_cpu_total) if measure else ""
      )
      cpu_total = format_time(measure.cpu_total) if measure else ""
      self_cuda_total = (
          format_time(measure.self_cuda_total)
          if measure and measure.self_cuda_total is not None
          else ""
      )
      cuda_total = format_time(measure.cuda_total) if measure else ""
      self_cpu_memory = (
          format_memory(measure.self_cpu_memory)
          if measure and measure.self_cpu_memory is not None
          else ""
      )
      cpu_memory = (
          format_memory(measure.cpu_memory)
          if measure and measure.cpu_memory is not None
          else ""
      )
      self_cuda_memory = (
          format_memory(measure.self_cuda_memory)
          if measure and measure.self_cuda_memory is not None
          else ""
      )
      cuda_memory = (
          format_memory(measure.cuda_memory)
          if measure and measure.cuda_memory is not None
          else ""
      )
      occurrences = str(measure.occurrences) if measure else ""
  
      return Measure(
          self_cpu_total=self_cpu_total,
          cpu_total=cpu_total,
          self_cuda_total=self_cuda_total,
          cuda_total=cuda_total,
          self_cpu_memory=self_cpu_memory,
          cpu_memory=cpu_memory,
          self_cuda_memory=self_cuda_memory,
          cuda_memory=cuda_memory,
          occurrences=occurrences,
      )
  
imports: import functools
  from collections import OrderedDict, defaultdict, namedtuple
  from typing import Any, List, NamedTuple, Optional, Tuple
  import torch
  import torch.profiler
label_desc: Use image node_id 4 for calling a global function with example usage: _format_measure_tuple(measure) and returns: Measure