                  for loss_key, loss in loss_dict[key].items():
                      retval.setdefault(loss_key, []).extend(loss)
              retval = {key: np.array(val, dtype="float32") for key, val in retval.items()}
          else:
              retval = loss_dict.get(session_id, dict())
  
          if self._is_training:
              self._is_querying.clear()
          return retval
  
 
</s> remove             retval = dict()
 </s> add             retval = {} </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         retval = dict()
 </s> add         retval = {}
            retval = loss_dict.get(session_id, {})
                  for loss_key, loss in loss_dict[key].items():
                      retval.setdefault(loss_key, []).extend(loss)
              retval = {key: np.array(val, dtype="float32") for key, val in retval.items()}
          else:
            retval = loss_dict.get(session_id, {})
  
          if self._is_training:
              self._is_querying.clear()
          return retval
  
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/stats.py