              if old_val == val:
                  continue
              self._config[key] = val
              logger.info("Config item: '%s' has been updated from '%s' to '%s'", key, old_val, val)
  
  
  class _Inference():  # pylint:disable=too-few-public-methods
      """ Calculates required layers and compiles a saved model for inference.
  
      Parameters
 
</s> remove         logger.debug("use_mixed_precision: %s, exclude_gpus: %s",
                     use_mixed_precision, exclude_gpus)
        if not use_mixed_precision:
 </s> add         logger.debug("use_mixed_precision: %s", use_mixed_precision)
        if not use_mixed_precision and get_backend() == "amd":
            self._rebuild_model = not self._rebuild_model and key in rebuild_tasks
              if old_val == val:
                  continue
              self._config[key] = val
              logger.info("Config item: '%s' has been updated from '%s' to '%s'", key, old_val, val)
            self._rebuild_model = not self._rebuild_model and key in rebuild_tasks
  
  
  class _Inference():  # pylint:disable=too-few-public-methods
      """ Calculates required layers and compiles a saved model for inference.
  
      Parameters
keep keep keep add keep keep keep keep keep keep
 Enable change of precision for existing models 
plugins/train/model/_base/model.py