          ``True`` if the model is being loaded for inference, ``False`` if the model is being loaded
          for training. Default: ``False``
      """
      def __init__(self,
                   arguments: "Namespace",
                   mixed_precision: bool,
                   allow_growth: bool,
                   is_predict: bool) -> None:
          logger.debug("Initializing %s: (arguments: %s, mixed_precision: %s, allow_growth: %s, "
                       "is_predict: %s)", self.__class__.__name__, arguments, mixed_precision,
 
</s> remove                  exclude_gpus: Optional[List[int]],
 </s> add                  exclude_gpus: T.Optional[T.List[int]], </s> remove                  threshold: Optional[List[float]] = None,
 </s> add                  threshold: T.Optional[T.List[float]] = None, </s> remove     _backends = (("nvidia", "amd", "apple_silicon", "directml", "rocm", "cpu"))
 </s> add     _backends = (("nvidia", "apple_silicon", "directml", "rocm", "cpu")) </s> remove     def __init__(self, saved_model: keras.models.Model, switch_sides: bool) -> None:
 </s> add     def __init__(self, saved_model: tf.keras.models.Model, switch_sides: bool) -> None: </s> remove     def __init__(self, in_queue: "EventQueue", queue_size: int, arguments: "Namespace") -> None:
 </s> add     def __init__(self, in_queue: EventQueue, queue_size: int, arguments: Namespace) -> None:
                 arguments: Namespace,
          ``True`` if the model is being loaded for inference, ``False`` if the model is being loaded
          for training. Default: ``False``
      """
      def __init__(self,
                 arguments: Namespace,
                   mixed_precision: bool,
                   allow_growth: bool,
                   is_predict: bool) -> None:
          logger.debug("Initializing %s: (arguments: %s, mixed_precision: %s, allow_growth: %s, "
                       "is_predict: %s)", self.__class__.__name__, arguments, mixed_precision,
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