torch.ao.nn.intrinsic.LinearReLU) will be swapped to the
      corresponding reference quantized modules (e.g.
      torch.ao.nn.reference.quantized.Linear). This allows custom
      backends to specify custom reference quantized module
      implementations to match the numerics of their lowered
      operators. Since this is a one-to-one mapping, both the root
      module and the reference quantized module must be specified in
      the same BackendPatternConfig in order for the conversion to
      take place.
  Return type:
     *BackendPatternConfig*

to_dict()
  Convert this "BackendPatternConfig" to a dictionary with the
  items described in "from_dict()".

  Return type:
     *Dict*[str, *Any*]
