Return type:
         Measurement
class torch.utils.benchmark.Measurement(number_per_run, raw_times, task_spec, metadata=None)
The result of a Timer measurement.
This class stores one or more measurements of a given statement. It
   is serializable and provides several convenience methods (including
   a detailed repr) for downstream consumers.
static merge(measurements)
  Convenience method for merging replicates.

  Merge will extrapolate times to *number_per_run=1* and will not
  transfer any metadata. (Since it might differ between
  replicates)

  Return type:
     *List*[*Measurement*]

property significant_figures: int
  Approximate significant figure estimate.

  This property is intended to give a convenient way to estimate
  the precision of a measurement. It only uses the interquartile
  region to estimate statistics to try to mitigate skew from the
  tails, and uses a static z value of 1.645 since it is not
