              Default: ``False``
          """
          logger.debug("Caching event data: (session_id: %s, labels: %s, data points: %s, "
                       "is_live: %s)", session_id, labels, len(data), is_live)
          if not data:
              logger.debug("No data to cache")
              return
  
          if labels:
              logger.debug("Setting loss labels: %s", labels)
              self._loss_labels = labels
  
 
</s> remove         retval = dict()
 </s> add         retval = {} </s> remove         retval = dict()
 </s> add         retval = {} </s> remove         kwargs = dict()
 </s> add         kwargs = dict(master=self._dummy_master)

              Default: ``False``
          """
          logger.debug("Caching event data: (session_id: %s, labels: %s, data points: %s, "
                       "is_live: %s)", session_id, labels, len(data), is_live)



  
          if labels:
              logger.debug("Setting loss labels: %s", labels)
              self._loss_labels = labels
  
keep keep keep keep replace replace 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