                                        weight=weight * multiplier,
                                        mask_channel=mask_channel)
              channel_idx += 1
  
      def _get_mask_channels(self) -> List[int]:
          """ Obtain the channels from the face targets that the masks reside in from the training
          data generator.
  
          Returns
          -------
 
</s> remove     def _get_segment_indices(self) -> List[int]:
 </s> add     def _get_segment_indices(self) -> T.List[int]: </s> remove     def get_batch(self) -> Tuple[List[List[np.ndarray]], ...]:
 </s> add     def get_batch(self) -> T.Tuple[T.List[T.List[np.ndarray]], ...]: </s> remove     def get_batch(self, queue: "Queue") -> Tuple[bool, RecogBatch]:
 </s> add     def get_batch(self, queue: Queue) -> T.Tuple[bool, RecogBatch]: </s> remove     def add_mixed_precision_layers(self, layers: List[str]) -> None:
 </s> add     def add_mixed_precision_layers(self, layers: T.List[str]) -> None: </s> remove     def _get_io_sizes(self) -> Dict[str, int]:
 </s> add     def _get_io_sizes(self) -> T.Dict[str, int]:
    def _get_mask_channels(self) -> T.List[int]:
                                        weight=weight * multiplier,
                                        mask_channel=mask_channel)
              channel_idx += 1
  
    def _get_mask_channels(self) -> T.List[int]:
          """ Obtain the channels from the face targets that the masks reside in from the training
          data generator.
  
          Returns
          -------
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/model/_base/settings.py