      def __init__(self,
                   images: Dict[Literal["a", "b"], List[str]],
                   model: 'ModelBase',
                   batch_size: int,
                   config: Dict[str, "ConfigValueType"]) -> None:
          logger.debug("Initializing %s: num_images: %s, batch_size: %s, config: %s)",
                       self.__class__.__name__, {k: len(v) for k, v in images.items()}, batch_size,
                       config)
          self._model = model
          self._images = images
 
</s> remove                  images: Dict[Literal["a", "b"], List[str]],
                 model: 'ModelBase',
 </s> add                  images: T.Dict[Literal["a", "b"], T.List[str]],
                 model: ModelBase, </s> remove                  configfile: Optional[str]) -> None:
 </s> add                  configfile: T.Optional[str]) -> None: </s> remove                  model: "ModelBase",
                 images: Dict[Literal["a", "b"], List[str]],
 </s> add                  model: ModelBase,
                 images: T.Dict[Literal["a", "b"], T.List[str]], </s> remove                  alignments: Alignments, images: ImagesLoader, arguments: "Namespace") -> None:
 </s> add                  alignments: Alignments, images: ImagesLoader, arguments: Namespace) -> None: </s> remove                            images: Dict[Literal["a", "b"], List[str]],
 </s> add                            images: T.Dict[Literal["a", "b"], T.List[str]],
                 config: T.Dict[str, ConfigValueType]) -> None:
      def __init__(self,
                   images: Dict[Literal["a", "b"], List[str]],
                   model: 'ModelBase',
                   batch_size: int,
                 config: T.Dict[str, ConfigValueType]) -> None:
          logger.debug("Initializing %s: num_images: %s, batch_size: %s, config: %s)",
                       self.__class__.__name__, {k: len(v) for k, v in images.items()}, batch_size,
                       config)
          self._model = model
          self._images = images
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