class_docstr: Keeps track of mean and standard deviation of some value for a given window.
code: def __init__(self, windowsize):
      super(MovingAverageValueMeter, self).__init__()
      self.windowsize = windowsize
      self.valuequeue = torch.Tensor(windowsize)
      self.reset()
  
file_path: pywick/pywick/meters/movingaveragevaluemeter.py
imports: import math
  from .None import meter
  import torch
label_desc: Use image node_id 1 to create a new MovingAverageValueMeter object from inherited base classes: meter with example: obj = MovingAverageValueMeter(windowsize)