  
      @property
      def _filename(self):
          """str: The filename for this model."""
          return os.path.join(self._model_dir, "{}.h5".format(self._plugin.name))
  
      @property
      def model_exists(self):
          """ bool: ``True`` if a model of the type being loaded exists within the model folder
          location otherwise ``False``.
 
</s> remove         self._carry_over = dict()
 </s> add         self._carry_over = {} </s> remove             msg = ("You have requested to train with the '{}' plugin, but a model file for the "
                   "'{}' plugin already exists in the folder '{}'.\nPlease select a different "
                   "model folder.".format(self.name, multiple_models[0], self.model_dir))
 </s> add             msg = (f"You have requested to train with the '{self.name}' plugin, but a model file "
                   f"for the '{multiple_models[0]}' plugin already exists in the folder "
                   f"'{self.model_dir}'.\nPlease select a different model folder.") </s> remove             msg = ("There are multiple plugin types ('{}') stored in the model folder '{}'. This "
                   "is not supported.\nPlease split the model files into their own folders before "
                   "proceeding".format("', '".join(multiple_models), self.model_dir))
 </s> add             ptypes = "', '".join(multiple_models)
            msg = (f"There are multiple plugin types ('{ptypes}') stored in the model folder '"
                   f"{self.model_dir}'. This is not supported.\nPlease split the model files into "
                   "their own folders before proceeding") </s> remove             return dict()
 </s> add             return {} </s> remove         self.return_file = getattr(self, "_{}".format(self._handletype.lower()))()
 </s> add         self.return_file = getattr(self, f"_{self._handletype.lower()}")()
        self._remove_dummy_master()

        return os.path.join(self._model_dir, f"{self._plugin.name}.h5")
  
      @property
      def _filename(self):
          """str: The filename for this model."""
        return os.path.join(self._model_dir, f"{self._plugin.name}.h5")
  
      @property
      def model_exists(self):
          """ bool: ``True`` if a model of the type being loaded exists within the model folder
          location otherwise ``False``.
keep keep keep keep replace keep keep keep keep keep
 Update code to support Tensorflow versions up to 2.8 (#1213)

* Update maximum tf version in setup + requirements

* - bump max version of tf version in launcher
- standardise tf version check

* update keras get_custom_objects  for tf>2.6

* bugfix: force black text in GUI file dialogs (linux)

* dssim loss - Move to stock tf.ssim function

* Update optimizer imports for compatibility

* fix logging for tf2.8

* Fix GUI graphing for TF2.8

* update tests

* bump requirements.txt versions

* Remove limit on nvidia-ml-py

* Graphing bugfixes
  - Prevent live graph from displaying if data not yet available

* bugfix: Live graph. Collect loss labels correctly

* fix: live graph - swallow inconsistent loss errors

* Bugfix: Prevent live graph from clearing during training

* Fix graphing for AMD 
plugins/train/model/_base.py