          :class:`numpy.ndarry`
              A compiled preview image ready for display or saving
          """
          logger.debug("Showing sample")
          feeds = dict()
          figures = dict()
          headers = dict()
          for idx, side in enumerate(("a", "b")):
              samples = self.images[side]
              faces = samples[1]
              input_shape = self._model.model.input_shape[idx][1:]
              if input_shape[0] / faces.shape[1] != 1.0:
 
</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 = {} </s> remove         retval = dict()
 </s> add         retval = {} </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={})
        feeds = {}
        figures = {}
        headers = {}
          :class:`numpy.ndarry`
              A compiled preview image ready for display or saving
          """
          logger.debug("Showing sample")
        feeds = {}
        figures = {}
        headers = {}
        feeds = {}
        figures = {}
        headers = {}
        feeds = {}
        figures = {}
        headers = {}
          for idx, side in enumerate(("a", "b")):
              samples = self.images[side]
              faces = samples[1]
              input_shape = self._model.model.input_shape[idx][1:]
              if input_shape[0] / faces.shape[1] != 1.0:
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 
plugins/train/trainer/_base.py