          dict
              The side ("a" or "b") as key, :class:`~lib.training_data.TrainingDataGenerator` as
              value.
          """
          retval = dict()
          for idx, side in enumerate(("a", "b")):
              logger.debug("Setting preview feed: (side: '%s')", side)
              preview_images = self._config.get("preview_images", 14)
              preview_images = min(max(preview_images, 2), 16)
              batchsize = min(len(self._images[side]), preview_images)
 
</s> remove         self._display_feeds = dict(preview=self._set_preview_feed(), timelapse=dict())
 </s> add         self._display_feeds = dict(preview=self._set_preview_feed(), timelapse={}) </s> remove         feeds = dict()
        figures = dict()
        headers = dict()
 </s> add         feeds = {}
        figures = {}
        headers = {} </s> remove         retval = dict()
 </s> add         retval = {} </s> remove         self._target = dict()
        self._samples = dict()
        self._masks = dict()
 </s> add         self._target = {}
        self._samples = {}
        self._masks = {} </s> remove         samples = dict()
        images = dict()
        masks = dict()
 </s> add         samples = {}
        images = {}
        masks = {}
        retval = {}
          dict
              The side ("a" or "b") as key, :class:`~lib.training_data.TrainingDataGenerator` as
              value.
          """
        retval = {}
          for idx, side in enumerate(("a", "b")):
              logger.debug("Setting preview feed: (side: '%s')", side)
              preview_images = self._config.get("preview_images", 14)
              preview_images = min(max(preview_images, 2), 16)
              batchsize = min(len(self._images[side]), preview_images)
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