          """
          return mixedprecision.LossScaleOptimizer(optimizer)
  
      @classmethod
      def _set_tf_settings(cls, allow_growth: bool, exclude_devices: List[int]) -> None:
          """ Specify Devices to place operations on and Allow TensorFlow to manage VRAM growth.
  
          Enables the Tensorflow allow_growth option if requested in the command line arguments
  
          Parameters
 
</s> remove         return mixedprecision.LossScaleOptimizer(optimizer)
 </s> add         return mixedprecision.LossScaleOptimizer(optimizer)  # pylint:disable=no-member </s> remove     def __init__(self, arguments: "argparse.Namespace") -> None:
 </s> add     def __init__(self, arguments: argparse.Namespace) -> None: </s> remove     def __init__(self, arguments: "Namespace") -> None:
 </s> add     def __init__(self, arguments: Namespace) -> None: </s> remove     def command_line_arguments(self) -> "argparse.Namespace":
 </s> add     def command_line_arguments(self) -> argparse.Namespace: </s> remove         if get_backend() == "amd":
            return
 </s> add 
    def _set_tf_settings(cls, allow_growth: bool, exclude_devices: T.List[int]) -> None:
          """
          return mixedprecision.LossScaleOptimizer(optimizer)
  
      @classmethod
    def _set_tf_settings(cls, allow_growth: bool, exclude_devices: T.List[int]) -> None:
          """ Specify Devices to place operations on and Allow TensorFlow to manage VRAM growth.
  
          Enables the Tensorflow allow_growth option if requested in the command line arguments
  
          Parameters
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