                                            [] if exclude_gpus is None else exclude_gpus,
                                            cpu_mode)
          self._model_path = model_path
          self._model_kwargs = {} if not model_kwargs else model_kwargs
          self._model: Optional[Model] = None
          logger.trace("Initialized: %s", self.__class__.__name__,)  # type:ignore
  
      def predict(self,
                  feed: Union[List[np.ndarray], np.ndarray],
                  batch_size: Optional[int] = None) -> Union[List[np.ndarray], np.ndarray]:
 
</s> remove                 feed: Union[List[np.ndarray], np.ndarray],
                batch_size: Optional[int] = None) -> Union[List[np.ndarray], np.ndarray]:
 </s> add                 feed: list[np.ndarray] | np.ndarray,
                batch_size: int | None = None) -> list[np.ndarray] | np.ndarray: </s> remove         self._model: T.Optional[tf.keras.models.Model] = None
 </s> add         self._model: tf.keras.models.Model | None = None </s> remove         self._bins: Dict[int, int] = {}
 </s> add         self._bins: dict[int, int] = {} </s> remove         model_kwargs = dict(custom_objects={'L2_normalize': L2_normalize})
 </s> add         model_kwargs = {"custom_objects": {"L2_normalize": L2_normalize}} </s> remove         self._threads: List[MultiThread] = []
 </s> add         self._threads: list[MultiThread] = []
        self._model: Model | None = None
                                            [] if exclude_gpus is None else exclude_gpus,
                                            cpu_mode)
          self._model_path = model_path
          self._model_kwargs = {} if not model_kwargs else model_kwargs
        self._model: Model | None = None
          logger.trace("Initialized: %s", self.__class__.__name__,)  # type:ignore
  
      def predict(self,
                  feed: Union[List[np.ndarray], np.ndarray],
                  batch_size: Optional[int] = None) -> Union[List[np.ndarray], np.ndarray]:
keep keep keep keep replace keep keep keep keep keep
 Rebase code (#1326)

* Remove tensorflow_probability requirement

* setup.py - fix progress bars

* requirements.txt: Remove pre python 3.9 packages

* update apple requirements.txt

* update INSTALL.md

* Remove python<3.9 code

* setup.py - fix Windows Installer

* typing: python3.9 compliant

* Update pytest and readthedocs python versions

* typing fixes

* Python Version updates
  - Reduce max version to 3.10
  - Default to 3.10 in installers
  - Remove incompatible 3.11 tests

* Update dependencies

* Downgrade imageio dep for Windows

* typing: merge optional unions and fixes

* Updates
  - min python version 3.10
  - typing to python 3.10 spec
  - remove pre-tf2.10 code
  - Add conda tests

* train: re-enable optimizer saving

* Update dockerfiles

* Update setup.py
  - Apple Conda deps to setup.py
  - Better Cuda + dependency handling

* bugfix: Patch logging to prevent Autograph errors

* Update dockerfiles

* Setup.py - Setup.py - stdout to utf-8

* Add more OSes to github Actions

* suppress mac-os end to end test 
lib/model/session.py