qconfig = get_default_qconfig("fbgemm")
  # Example of customizing qconfig:
  # qconfig = torch.ao.quantization.QConfig(
  #    activation=FakeQuantize.with_args(observer=MinMaxObserver.with_args(dtype=torch.qint8)),
  #    weight=FakeQuantize.with_args(observer=MinMaxObserver.with_args(dtype=torch.qint8)))
  # `activation` and `weight` are constructors of observer module

  # qconfig_mapping is a collection of quantization configurations, user can
  # set the qconfig for each operator (torch op calls, functional calls, module calls)
  # in the model through qconfig_mapping
  # the following call will get the qconfig_mapping that works best for models
  # that target "fbgemm" backend
  qconfig_mapping = get_default_qat_qconfig("fbgemm")

  # We can customize qconfig_mapping in different ways, please take a look at
  # the docstring for :func:`~torch.ao.quantization.prepare_fx` for different ways
  # to configure this
