              loss_scale_optimizer.LossScaleOptimizer._apply_gradients = func  # noqa pylint:disable=protected-access
  
          return tf.distribute.experimental.CentralStorageStrategy(parameter_device="/cpu:0")
  
      def _get_mixed_precision_layers(self, layers: T.List[dict]) -> T.List[str]:
          """ Obtain the names of the layers in a mixed precision model that have their dtype policy
          explicitly set to mixed-float16.
  
          Parameters
          ----------
 
</s> remove                                    build_func: T.Callable[[T.List[tf.keras.layers.Layer]],
                                                          tf.keras.models.Model],
                                   inputs: T.List[tf.keras.layers.Layer]) -> T.List[str]:
 </s> add                                    build_func: Callable[[list[tf.keras.layers.Layer]],
                                                        tf.keras.models.Model],
                                   inputs: list[tf.keras.layers.Layer]) -> list[str]: </s> remove     def add_mixed_precision_layers(self, layers: T.List[str]) -> None:
 </s> add     def add_mixed_precision_layers(self, layers: list[str]) -> None: </s> remove     def _select_freeze_layers(self) -> T.List[str]:
 </s> add     def _select_freeze_layers(self) -> list[str]: </s> remove             retval = dict(text=widget._text,  # pylint:disable=protected-access
                          toggle_var=widget._toggle_var)  # pylint:disable=protected-access
 </s> add             retval = {"text": widget._text,  # pylint:disable=protected-access
                      "toggle_var": widget._toggle_var}  # pylint:disable=protected-access </s> remove     def _get_active_devices(self) -> List[int]:
 </s> add     def _get_active_devices(self) -> list[int]:
    def _get_mixed_precision_layers(self, layers: list[dict]) -> list[str]:
              loss_scale_optimizer.LossScaleOptimizer._apply_gradients = func  # noqa pylint:disable=protected-access
  
          return tf.distribute.experimental.CentralStorageStrategy(parameter_device="/cpu:0")
  
    def _get_mixed_precision_layers(self, layers: list[dict]) -> list[str]:
          """ Obtain the names of the layers in a mixed precision model that have their dtype policy
          explicitly set to mixed-float16.
  
          Parameters
          ----------
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 
plugins/train/model/_base/settings.py