          """
          logger.debug("Setting Kwargs: (title: %s, initial_folder: %s, initial_file: '%s', "
                       "file_type: '%s', command: '%s': action: '%s', variable: '%s')",
                       title, initial_folder, initial_file, file_type, command, action, variable)
          kwargs = dict()
          if self._handletype.lower() == "context":
              self._set_context_handletype(command, action, variable)
  
          if title is not None:
              kwargs["title"] = title
 
</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         filename = "{}_state.{}".format(model_name, self._serializer.file_extension)
 </s> add         filename = f"{model_name}_state.{self._serializer.file_extension}" </s> remove         title += " - {}".format(text) if text is not None and text else ""
 </s> add         title += f" - {text}" if text is not None and text else "" </s> remove         if not data:
            logger.debug("No data to cache")
            return
 </s> add 
        kwargs = dict(master=self._dummy_master)

          """
          logger.debug("Setting Kwargs: (title: %s, initial_folder: %s, initial_file: '%s', "
                       "file_type: '%s', command: '%s': action: '%s', variable: '%s')",
                       title, initial_folder, initial_file, file_type, command, action, variable)
        kwargs = dict(master=self._dummy_master)

          if self._handletype.lower() == "context":
              self._set_context_handletype(command, action, variable)
  
          if title is not None:
              kwargs["title"] = title
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/utils.py