              logger.debug("Setting encoder_dim and lowmem flag for legacy lowmem model")
              self.encoder_dim = 512
              self.state.config["lowmem"] = True
  
          self.state.replace_config()
          self.state.save()
  
  
  class NNMeta():
      """ Class to hold a neural network and it's meta data
 
</s> remove     def __init__(self, model_dir, model_name, no_logs, pingpong, training_image_size):
        logger.debug("Initializing %s: (model_dir: '%s', model_name: '%s', no_logs: %s, "
                     "pingpong: %s, training_image_size: '%s'", self.__class__.__name__, model_dir,
                     model_name, no_logs, pingpong, training_image_size)
 </s> add     def __init__(self, model_dir, model_name, config_changeable_items,
                 no_logs, pingpong, training_image_size):
        logger.debug("Initializing %s: (model_dir: '%s', model_name: '%s', "
                     "config_changeable_items: '%s', no_logs: %s, pingpong: %s, "
                     "training_image_size: '%s'", self.__class__.__name__, model_dir, model_name,
                     config_changeable_items, no_logs, pingpong, training_image_size) </s> remove         self.state = State(self.model_dir, self.name, no_logs, pingpong, training_image_size)
 </s> add         self.state = State(self.model_dir,
                           self.name,
                           self.config_changeable_items,
                           no_logs,
                           pingpong,
                           training_image_size) </s> remove         self.add_item(
            section=section, title="dssim_loss", datatype=bool, default=False,
            info="Use DSSIM for Loss rather than Mean Absolute Error\n"
                 "May increase overall quality.")
 </s> add  </s> remove ADDITIONAL_INFO = "\nNB: Values changed here will only take effect when creating a new model."
 </s> add ADDITIONAL_INFO = ("\nNB: Unless specifically stated, values changed here will only take effect "
                   "when creating a new model.")
        self.state.replace_config(self.config_changeable_items)
              logger.debug("Setting encoder_dim and lowmem flag for legacy lowmem model")
              self.encoder_dim = 512
              self.state.config["lowmem"] = True
  
        self.state.replace_config(self.config_changeable_items)
          self.state.save()
  
  
  class NNMeta():
      """ Class to hold a neural network and it's meta data
keep keep keep keep replace keep keep keep keep keep
 Allow 'unfixed' parameters for model config 
plugins/train/model/_base.py