      plugins.extract.mask._base : Masker parent class for extraction plugins.
      """
  
      def __init__(self,
                   git_model_id: Optional[int] = None,
                   model_filename: Optional[str] = None,
                   configfile: Optional[str] = None,
                   instance: int = 0,
                   **kwargs):
          logger.debug("Initializing %s", self.__class__.__name__)
          super().__init__(git_model_id,
                           model_filename,
 
</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                  normalization: Optional[str] = None,
                 activation: Optional[str] = "leakyrelu",
 </s> add                  normalization: T.Optional[str] = None,
                 activation: T.Optional[str] = "leakyrelu", </s> remove                  starts: List[int],
                 ends: List[int],
                 axes: Optional[List[int]] = None,
                 steps: Optional[List[int]] = None,
 </s> add                  starts: T.List[int],
                 ends: T.List[int],
                 axes: T.Optional[T.List[int]] = None,
                 steps: T.Optional[T.List[int]] = None, </s> remove                  exclude_gpus: Optional[List[int]],
 </s> add                  exclude_gpus: T.Optional[T.List[int]], </s> remove                         batch_size: Optional[int] = None,
                        images: Optional[List[str]] = None) -> DataGenerator:
 </s> add                         batch_size: T.Optional[int] = None,
                        images: T.Optional[T.List[str]] = None) -> DataGenerator:
                 git_model_id: T.Optional[int] = None,
                 model_filename: T.Optional[str] = None,
                 configfile: T.Optional[str] = None,
      plugins.extract.mask._base : Masker parent class for extraction plugins.
      """
  
      def __init__(self,
                 git_model_id: T.Optional[int] = None,
                 model_filename: T.Optional[str] = None,
                 configfile: T.Optional[str] = None,
                 git_model_id: T.Optional[int] = None,
                 model_filename: T.Optional[str] = None,
                 configfile: T.Optional[str] = None,
                 git_model_id: T.Optional[int] = None,
                 model_filename: T.Optional[str] = None,
                 configfile: T.Optional[str] = None,
                   instance: int = 0,
                   **kwargs):
          logger.debug("Initializing %s", self.__class__.__name__)
          super().__init__(git_model_id,
                           model_filename,
keep keep keep keep replace replace 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/extract/recognition/_base.py