MovingAverageMinMaxObserver
class torch.quantization.observer.MovingAverageMinMaxObserver(averaging_constant=0.01, dtype=torch.quint8, qscheme=torch.per_tensor_affine, reduce_range=False, quant_min=None, quant_max=None, eps=1.1920928955078125e-07, **kwargs)
Observer module for computing the quantization parameters based on
   the moving average of the min and max values.
This observer computes the quantization parameters based on the
   moving averages of minimums and maximums of the incoming tensors.
   The module records the average minimum and maximum of incoming
   tensors, and uses this statistic to compute the quantization
   parameters.
Parameters:
      * averaging_constant -- Averaging constant for min/max.
  * **dtype** -- dtype argument to the *quantize* node needed to
    implement the reference model spec.

  * **qscheme** -- Quantization scheme to be used

  * **reduce_range** -- Reduces the range of the quantized data
