ObserverBase
class torch.quantization.observer.ObserverBase(dtype)
Base observer Module. Any observer implementation should derive
   from this class.
Concrete observers should follow the same API. In forward, they
   will update the statistics of the observed Tensor. And they should
   provide a calculate_qparams function that computes the
   quantization parameters given the collected statistics.
Parameters:
      dtype -- dtype argument to the quantize node needed to
      implement the reference model spec.
classmethod with_args(**kwargs)
  Wrapper that allows creation of class factories.

  This can be useful when there is a need to create classes with
  the same constructor arguments, but different instances. Can be
  used in conjunction with _callable_args

  Example:

     >>> Foo.with_args = classmethod(_with_args)
     >>> foo_builder = Foo.with_args(a=3, b=4).with_args(answer=42)
     >>> foo_instance1 = foo_builder()
