MovingAveragePerChannelMinMaxObserver
class torch.quantization.observer.MovingAveragePerChannelMinMaxObserver(averaging_constant=0.01, ch_axis=0, dtype=torch.quint8, qscheme=torch.per_channel_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 running per channel min and max values.
This observer uses the tensor min/max statistics to compute the per
   channel quantization parameters. The module records the running
   minimum and maximum of incoming tensors, and uses this statistic to
   compute the quantization parameters.
Parameters:
      * averaging_constant -- Averaging constant for min/max.
  * **ch_axis** -- Channel axis

  * **dtype** -- Quantized data type

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

  * **reduce_range** -- Reduces the range of the quantized data
    type by 1 bit
