          dict
              The full path of each log file for each training session id that has been run
          """
          logger.debug("Loading log filenames. base_dir: '%s'", self._logs_folder)
          retval = dict()
          for dirpath, _, filenames in os.walk(self._logs_folder):
              if not any(filename.startswith("events.out.tfevents") for filename in filenames):
                  continue
              session_id = self._get_session_id(dirpath)
              if session_id is None:
 
</s> remove         retval = dict()
 </s> add         retval = {} </s> remove                 for sess_id, sess in self._state.get("sessions", dict()).items()}
 </s> add                 for sess_id, sess in self._state.get("sessions", {}).items()} </s> remove         loss_keys = {sess_id: list(logs.keys())
                     for sess_id, logs in self._tb_logs.get_loss(session_id=session_id).items()}
 </s> add         if get_backend() == "amd":
            # We can't log the graph in Tensorboard logs for AMD so need to obtain from state file
            loss_keys = {int(sess_id): [name for name in session["loss_names"] if name != "total"]
                         for sess_id, session in self._state["sessions"].items()}
        else:
            loss_keys = {sess_id: list(logs.keys())
                         for sess_id, logs
                         in self._tb_logs.get_loss(session_id=session_id).items()}
 </s> remove             compiled = list()
 </s> add             compiled = [] </s> remove         data = dict()
 </s> add         data = {}
        retval = {}
          dict
              The full path of each log file for each training session id that has been run
          """
          logger.debug("Loading log filenames. base_dir: '%s'", self._logs_folder)
        retval = {}
          for dirpath, _, filenames in os.walk(self._logs_folder):
              if not any(filename.startswith("events.out.tfevents") for filename in filenames):
                  continue
              session_id = self._get_session_id(dirpath)
              if session_id is 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/event_reader.py