                   show_min: bool = True, show_mean: bool = True, show_max: bool = True) -> None:
          self._times: Dict[str, List[float]] = {}
          self._steps: Dict[str, float] = {}
          self._interval = 1
          self._display = dict(min=show_min, mean=show_mean, max=show_max)
  
      def step_start(self, name: str, record: bool = True) -> None:
          """ Start the timer for the given step name.
  
          Parameters
 
</s> remove         self._sessions: Dict[int, dict] = {}
        self._lowest_avg_loss: Dict[str, float] = {}
        self._config: Dict[str, "ConfigValueType"] = {}
 </s> add         self._sessions: T.Dict[int, dict] = {}
        self._lowest_avg_loss: T.Dict[str, float] = {}
        self._config: T.Dict[str, ConfigValueType] = {} </s> remove         self.backend: Optional[Literal["nvidia", "amd", "apple_silicon",
 </s> add         self.backend: Optional[Literal["nvidia", "apple_silicon", </s> remove         self._mixed_precision_layers: List[str] = []
 </s> add         self._mixed_precision_layers: T.List[str] = [] </s> remove     def generate_preview(self,
                         is_timelapse: bool = False) -> Dict[Literal["a", "b"], List[np.ndarray]]:
 </s> add     def generate_preview(self, is_timelapse: bool = False
                         ) -> T.Dict[Literal["a", "b"], T.List[np.ndarray]]: </s> remove     _backends = (("nvidia", "amd", "apple_silicon", "directml", "rocm", "cpu"))
 </s> add     _backends = (("nvidia", "apple_silicon", "directml", "rocm", "cpu"))
        self._display = {"min": show_min, "mean": show_mean, "max": show_max}
                   show_min: bool = True, show_mean: bool = True, show_max: bool = True) -> None:
          self._times: Dict[str, List[float]] = {}
          self._steps: Dict[str, float] = {}
          self._interval = 1
        self._display = {"min": show_min, "mean": show_mean, "max": show_max}
  
      def step_start(self, name: str, record: bool = True) -> None:
          """ Start the timer for the given step name.
  
          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 
lib/utils.py