  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  
  
  def _get_config(plugin_name: str,
                  configfile: Optional[str] = None) -> Dict[str, "ConfigValueType"]:
      """ Return the configuration for the requested trainer.
  
      Parameters
      ----------
      plugin_name: str
 
</s> remove                        activation: Optional[str] = None,
                       upsamples: Optional[int] = None,
                       interpolation: Optional[str] = None) -> keras.layers.Layer:
 </s> add                        activation: T.Optional[str] = None,
                       upsamples: T.Optional[int] = None,
                       interpolation: T.Optional[str] = None) -> keras.layers.Layer: </s> remove     def _alignments_faces(self, frame_name: str, image: np.ndarray) -> List[DetectedFace]:
 </s> add     def _alignments_faces(self, frame_name: str, image: np.ndarray) -> T.List[DetectedFace]: </s> remove if TYPE_CHECKING:
 </s> add if T.TYPE_CHECKING:
                configfile: T.Optional[str] = None) -> T.Dict[str, ConfigValueType]:
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  
  
  def _get_config(plugin_name: str,
                configfile: T.Optional[str] = None) -> T.Dict[str, ConfigValueType]:
      """ Return the configuration for the requested trainer.
  
      Parameters
      ----------
      plugin_name: str
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