          ----------
          session_id: int
              The session id that the data is being cached for
          """
          data = dict()
          try:
              for record in self._iterator:
                  event = event_pb2.Event.FromString(record)  # pylint:disable=no-member
                  if not event.summary.value:
                      continue
 
</s> remove         retval = dict()
 </s> add         retval = {} </s> remove         retval = dict()
 </s> add         retval = {} </s> remove         retval = dict()
 </s> add         retval = {} </s> remove         if not data:
            logger.debug("No data to cache")
            return
 </s> add  </s> remove         self._carry_over = dict()
 </s> add         self._carry_over = {}
        data = {}
          ----------
          session_id: int
              The session id that the data is being cached for
          """
        data = {}
          try:
              for record in self._iterator:
                  event = event_pb2.Event.FromString(record)  # pylint:disable=no-member
                  if not event.summary.value:
                      continue
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