  
      @property
      def _model_zip_path(self):
          """ str: The full path to downloaded zip file. """
          retval = os.path.join(self._cache_dir, "{}.zip".format(self._model_full_name))
          self.logger.trace(retval)
          return retval
  
      @property
      def _model_exists(self):
 
</s> remove         tag = "v{}.{}.{}".format(self._url_section, self._git_model_id, self._model_version)
        retval = "{}/{}/{}.zip".format(self._url_base, tag, self._model_full_name)
 </s> add         tag = f"v{self._url_section}.{self._git_model_id}.{self._model_version}"
        retval = f"{self._url_base}/{tag}/{self._model_full_name}.zip" </s> remove         retval = dict()
 </s> add         retval = {} </s> remove             return dict()
 </s> add             return {} </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._funcs = dict()
 </s> add         self._funcs = {}
        retval = os.path.join(self._cache_dir, f"{self._model_full_name}.zip")
  
      @property
      def _model_zip_path(self):
          """ str: The full path to downloaded zip file. """
        retval = os.path.join(self._cache_dir, f"{self._model_full_name}.zip")
          self.logger.trace(retval)
          return retval
  
      @property
      def _model_exists(self):
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/utils.py