                      stats[key] = summary[key]
                      continue
                  stats["start"] = time.strftime("%x %X", time.localtime(summary["start"]))
                  stats["end"] = time.strftime("%x %X", time.localtime(summary["end"]))
                  stats["elapsed"] = "{}:{}:{}".format(hrs, mins, secs)
                  stats["rate"] = "{0:.1f}".format(summary["rate"])
              retval.append(stats)
          return retval
  
      @classmethod
      def _convert_time(cls, timestamp):
 
</s> remove             stats = dict()
 </s> add             stats = {} </s> remove             retval = loss_keys[session_id]
 </s> add             retval = loss_keys.get(session_id) </s> remove         retval = dict()
 </s> add         retval = {} </s> remove         retval = dict()
 </s> add         retval = {} </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"
                stats["elapsed"] = f"{hrs}:{mins}:{secs}"
                stats["rate"] = f"{summary['rate']:.1f}"
                      stats[key] = summary[key]
                      continue
                  stats["start"] = time.strftime("%x %X", time.localtime(summary["start"]))
                  stats["end"] = time.strftime("%x %X", time.localtime(summary["end"]))
                stats["elapsed"] = f"{hrs}:{mins}:{secs}"
                stats["rate"] = f"{summary['rate']:.1f}"
                stats["elapsed"] = f"{hrs}:{mins}:{secs}"
                stats["rate"] = f"{summary['rate']:.1f}"
              retval.append(stats)
          return retval
  
      @classmethod
      def _convert_time(cls, timestamp):
keep keep keep keep 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/stats.py