  
  def nms(rectangles: np.ndarray,
          scores: np.ndarray,
          threshold: float,
          method: str = "iom") -> Tuple[np.ndarray, np.ndarray]:
      """ apply non-maximum suppression on ROIs in same scale(matrix version)
  
      Parameters
      ----------
      rectangles: :class:`np.ndarray`
 
</s> remove                            rectangles: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
 </s> add                            rectangles: np.ndarray) -> T.Tuple[np.ndarray, np.ndarray]: </s> remove                            scale: float) -> Tuple[np.ndarray, np.ndarray]:
 </s> add                            scale: float) -> T.Tuple[np.ndarray, np.ndarray]: </s> remove     def _get_predictions(self, feed_a: np.ndarray, feed_b: np.ndarray) -> Dict[str, np.ndarray]:
 </s> add     def _get_predictions(self, feed_a: np.ndarray, feed_b: np.ndarray) -> T.Dict[str, np.ndarray]: </s> remove     def _predict(self, feed_faces: np.ndarray, batch_size: Optional[int] = None) -> np.ndarray:
 </s> add     def _predict(self, feed_faces: np.ndarray, batch_size: T.Optional[int] = None) -> np.ndarray: </s> remove                       color: Tuple[float, float, float]) -> np.ndarray:
 </s> add                       color: T.Tuple[float, float, float]) -> np.ndarray:
        method: str = "iom") -> T.Tuple[np.ndarray, np.ndarray]:
  
  def nms(rectangles: np.ndarray,
          scores: np.ndarray,
          threshold: float,
        method: str = "iom") -> T.Tuple[np.ndarray, np.ndarray]:
      """ apply non-maximum suppression on ROIs in same scale(matrix version)
  
      Parameters
      ----------
      rectangles: :class:`np.ndarray`
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/extract/detect/mtcnn.py