          self._model.add_history(combined_loss)
          logger.trace("original loss: %s, combined_loss: %s", loss, combined_loss)  # type: ignore
          return combined_loss
  
      def _print_loss(self, loss: List[float]) -> None:
          """ Outputs the loss for the current iteration to the console.
  
          Parameters
          ----------
          loss: list
 
</s> remove     def _log_tensorboard(self, loss: List[float]) -> None:
 </s> add     def _log_tensorboard(self, loss: T.List[float]) -> None: </s> remove     def add_history(self, loss: List[float]) -> None:
 </s> add     def add_history(self, loss: T.List[float]) -> None: </s> remove     def _collate_and_store_loss(self, loss: List[float]) -> List[float]:
 </s> add     def _collate_and_store_loss(self, loss: T.List[float]) -> T.List[float]: </s> remove             loss: List[float] = self._model.model.train_on_batch(model_inputs, y=model_targets)
 </s> add             loss: T.List[float] = self._model.model.train_on_batch(model_inputs, y=model_targets) </s> remove         if get_backend() == "amd":  # Expand out AMD inputs + targets
            model_inputs = [inp for side in model_inputs for inp in side]  # type: ignore
            model_targets = [tgt for side in model_targets for tgt in side]  # type: ignore
 </s> add 
    def _print_loss(self, loss: T.List[float]) -> None:
          self._model.add_history(combined_loss)
          logger.trace("original loss: %s, combined_loss: %s", loss, combined_loss)  # type: ignore
          return combined_loss
  
    def _print_loss(self, loss: T.List[float]) -> None:
          """ Outputs the loss for the current iteration to the console.
  
          Parameters
          ----------
          loss: list
keep keep keep keep replace keep keep keep keep keep
 Remove plaidML support (#1325)

* Remove PlaidML reference from readme files

* Remove AMD option from installers

* remove amd requirements and update setup.py

* remove plaidml test from CI workflow

* gpustats: remove plaidml backend

* plaid removals:
  - faceswap.py - python version check
  - setup.cfg - plaidml typing ignore
  - lib.keras_utils - All plaid code
  - lib.launcher.py - All plaidml checks and configuration

* remove tf2.2 specific code from GUI event reader

* lib.model - remove all plaidml implementations

* plugins.extract - remove plaidml code

* plugins.train remove plaidml code

* lib.convert - remove plaidml code

* tools.model: remove plaidml code

* Remove plaidML tests from unit tests

* remove plaidml_utils and docsting cleanups

* Remove plaidML refs from configs

* fix keras imports 
plugins/train/trainer/_base.py