FusedMovingAvgObsFakeQuantize
class torch.quantization.fake_quantize.FusedMovingAvgObsFakeQuantize(observer=, quant_min=0, quant_max=255, **observer_kwargs)
Fused module that is used to observe the input tensor (compute
   min/max), compute scale/zero_point and fake_quantize the tensor.
   This module uses calculation similar MovingAverageMinMaxObserver
   for the inputs, to compute the min/max values in order to compute
   the scale/zero_point. The qscheme input in the observer is used to
   differentiate between symmetric/affine quantization scheme.
The output of this module is given by x_out = (clamp(round(x/scale
   + zero_point), quant_min, quant_max)-zero_point)*scale
Similar to "FakeQuantize", and accepts the same attributes as the
   base class.