BackendPatternConfig
class torch.ao.quantization.backend_config.BackendPatternConfig(pattern=None)
Config object that specifies quantization behavior for a given
   operator pattern. For a detailed example usage, see
   "BackendConfig".
add_dtype_config(dtype_config)
  Add a set of supported data types passed as arguments to
  quantize ops in the reference model spec.

  Return type:
     *BackendPatternConfig*

classmethod from_dict(backend_pattern_config_dict)
  Create a "BackendPatternConfig" from a dictionary with the
  following items:

     "pattern": the pattern being configured "observation_type":
     the "ObservationType" that specifies how observers should be
     inserted for this pattern "dtype_configs": a list of
     dictionaries that represents "DTypeConfig" s "root_module": a
     "torch.nn.Module" that represents the root for this pattern
     "qat_module": a "torch.nn.Module" that represents the QAT
