              self._tb_logs.set_training(False)
  
      def clear(self):
          """ Clear the currently loaded session. """
          self._state = dict()
          self._model_dir = None
          self._model_name = None
  
          del self._tb_logs
          self._tb_logs = None
 
</s> remove         self._tb_logs = TensorBoardLogs(os.path.join(self._model_dir,
                                                     "{}_logs".format(self._model_name)),
 </s> add         self._tb_logs = TensorBoardLogs(os.path.join(self._model_dir, f"{self._model_name}_logs"), </s> remove         self._previewtrain = dict()
 </s> add         self._previewtrain = {} </s> remove         self._funcs = dict()
 </s> add         self._funcs = {} </s> remove         retval = dict()
 </s> add         retval = {}
        self._state = {}
              self._tb_logs.set_training(False)
  
      def clear(self):
          """ Clear the currently loaded session. """
        self._state = {}
          self._model_dir = None
          self._model_name = None
  
          del self._tb_logs
          self._tb_logs = None
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