          """ dict: The batch sizes for each session_id for the model. """
          if self._state is None:
              return dict()
          return {int(sess_id): sess["batchsize"]
                  for sess_id, sess in self._state.get("sessions", dict()).items()}
  
      @property
      def full_summary(self):
          """ list: List of dictionaries containing summary statistics for each session id. """
          return self._summary.get_summary_stats()
 
</s> remove             return dict()
 </s> add             return {} </s> remove         retval = dict()
 </s> add         retval = {} </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()
 </s> remove         self._funcs = dict()
 </s> add         self._funcs = {} </s> remove         retval = dict()
 </s> add         retval = {}
                for sess_id, sess in self._state.get("sessions", {}).items()}
          """ dict: The batch sizes for each session_id for the model. """
          if self._state is None:
              return dict()
          return {int(sess_id): sess["batchsize"]
                for sess_id, sess in self._state.get("sessions", {}).items()}
  
      @property
      def full_summary(self):
          """ list: List of dictionaries containing summary statistics for each session id. """
          return self._summary.get_summary_stats()
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/stats.py