      """
      def __init__(self, session_ids):
          logger.debug("Initializing: %s: (session_ids: %s)", self.__class__.__name__, session_ids)
          self._data = {idx: None for idx in session_ids}
          self._carry_over = dict()
          self._loss_labels = []
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      def is_cached(self, session_id):
          """ bool: ``True`` if the data already exists in the cache otherwise ``False``. """
 
</s> remove         self._funcs = dict()
 </s> add         self._funcs = {} </s> remove         return os.path.join(self._model_dir, "{}.h5".format(self._plugin.name))
 </s> add         return os.path.join(self._model_dir, f"{self._plugin.name}.h5") </s> remove         self.images = dict()
 </s> add         self.images = {} </s> remove         retval = dict()
 </s> add         retval = {} </s> remove                                   filenames=list(),
 </s> add                                   filenames=[],
        self._carry_over = {}
      """
      def __init__(self, session_ids):
          logger.debug("Initializing: %s: (session_ids: %s)", self.__class__.__name__, session_ids)
          self._data = {idx: None for idx in session_ids}
        self._carry_over = {}
          self._loss_labels = []
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      def is_cached(self, session_id):
          """ bool: ``True`` if the data already exists in the cache 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 
lib/gui/analysis/event_reader.py