                   image_count: int,
                   mask_opacity: int,
                   mask_color: str,
                   feeder: _Feeder,
                   image_paths: Dict[Literal["a", "b"], List[str]]) -> None:
          logger.debug("Initializing %s: model: %s, coverage_ratio: %s, image_count: %s, "
                       "mask_opacity: %s, mask_color: %s, feeder: %s, image_paths: %s)",
                       self.__class__.__name__, model, coverage_ratio, image_count, mask_opacity,
                       mask_color, feeder, len(image_paths))
          self._num_images = image_count
 
</s> remove                  model: "ModelBase",
 </s> add                  model: ModelBase, </s> remove                  model: "ModelBase",
 </s> add                  model: ModelBase, </s> remove                  config: Dict[str, "ConfigValueType"]) -> None:
 </s> add                  config: T.Dict[str, ConfigValueType]) -> None: </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                  exclude_gpus: Optional[List[int]],
 </s> add                  exclude_gpus: T.Optional[T.List[int]],
                 image_paths: T.Dict[Literal["a", "b"], T.List[str]]) -> None:
                   image_count: int,
                   mask_opacity: int,
                   mask_color: str,
                   feeder: _Feeder,
                 image_paths: T.Dict[Literal["a", "b"], T.List[str]]) -> None:
          logger.debug("Initializing %s: model: %s, coverage_ratio: %s, image_count: %s, "
                       "mask_opacity: %s, mask_color: %s, feeder: %s, image_paths: %s)",
                       self.__class__.__name__, model, coverage_ratio, image_count, mask_opacity,
                       mask_color, feeder, len(image_paths))
          self._num_images = image_count
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