          generate upscales for. Used for when splitting upscales between the Fully Connected Layers
          and the Decoder. ``None`` will generate the full Upscale chain. An end index of -1 will
          generate the layers from the starting index to the final upscale. Default: ``None``
      """
      _filters: T.List[int] = []
  
      def __init__(self,
                   side: Literal["a", "b", "both", "shared"],
                   config: dict,
                   layer_indicies: T.Optional[T.Tuple[int, int]] = None) -> None:
 
</s> remove                  side: Literal["a", "b", "both", "shared"],
 </s> add                  side: T.Literal["a", "b", "both", "shared"], </s> remove                  layer_indicies: T.Optional[T.Tuple[int, int]] = None) -> None:
 </s> add                  layer_indicies: tuple[int, int] | None = None) -> None: </s> remove                  side: Literal["a", "b", "both", "gblock", "shared"],
 </s> add                  side: T.Literal["a", "b", "both", "gblock", "shared"], </s> remove     def __init__(self, input_shape: T.Optional[T.Tuple[int, int, int]] = None) -> None:
 </s> add     def __init__(self, input_shape: tuple[int, int, int] | None = None) -> None: </s> remove                  side: Literal["a", "b", "both"],
                 input_shapes: T.Union[list, tuple],
 </s> add                  side: T.Literal["a", "b", "both"],
                 input_shapes: list | tuple,
    _filters: list[int] = []
          generate upscales for. Used for when splitting upscales between the Fully Connected Layers
          and the Decoder. ``None`` will generate the full Upscale chain. An end index of -1 will
          generate the layers from the starting index to the final upscale. Default: ``None``
      """
    _filters: list[int] = []
  
      def __init__(self,
                   side: Literal["a", "b", "both", "shared"],
                   config: dict,
                   layer_indicies: T.Optional[T.Tuple[int, int]] = None) -> None:
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/phaze_a.py