          list:
              List of :class:`numpy.ndarray` of predictions received from the model
          """
          logger.debug("Getting Predictions")
          preds = dict()
          standard = self._model.model.predict([feed_a, feed_b])
          swapped = self._model.model.predict([feed_b, feed_a])
  
          if self._model.config["learn_mask"] and get_backend() == "amd":
              # Ravel results for plaidml
 
</s> remove             predictions = [preds["{0}_{0}".format(side)],
                           preds["{}_{}".format(other_side, side)]]
 </s> add             predictions = [preds[f"{side}_{side}"],
                           preds[f"{other_side}_{side}"]] </s> remove         self._funcs = dict()
 </s> add         self._funcs = {} </s> remove             self.data_format = K.normalize_data_format(data_format)
 </s> add             self.data_format = K.normalize_data_format(data_format)  # pylint:disable=no-member </s> remove         retval = dict()
 </s> add         retval = {} </s> remove             self.data_format = K.normalize_data_format(data_format)
 </s> add             self.data_format = K.normalize_data_format(data_format)  # pylint:disable=no-member
        preds = {}
          list:
              List of :class:`numpy.ndarray` of predictions received from the model
          """
          logger.debug("Getting Predictions")
        preds = {}
          standard = self._model.model.predict([feed_a, feed_b])
          swapped = self._model.model.predict([feed_b, feed_a])
  
          if self._model.config["learn_mask"] and get_backend() == "amd":
              # Ravel results for plaidml
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 
plugins/train/trainer/_base.py