                    for inputs in self.model.inputs]
          return shapes
  
      @property
      def output_shapes(self) -> T.List[T.Tuple[None, int, int, int]]:
          """ list: A flattened list corresponding to all of the outputs of the model. """
          shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(output))
                    for output in self.model.outputs]
          return shapes
  
 
</s> remove         shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(output))
 </s> add         shapes = [T.cast(tuple[None, int, int, int], K.int_shape(output)) </s> remove         shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(inputs))
 </s> add         shapes = [T.cast(tuple[None, int, int, int], K.int_shape(inputs)) </s> remove     def input_shapes(self) -> T.List[T.Tuple[None, int, int, int]]:
 </s> add     def input_shapes(self) -> list[tuple[None, int, int, int]]: </s> remove     def image_shape(self) -> Tuple[int, int, int]:
 </s> add     def image_shape(self) -> tuple[int, int, int]: </s> remove     def file_list(self) -> List[str]:
 </s> add     def file_list(self) -> list[str]:
    def output_shapes(self) -> list[tuple[None, int, int, int]]:
                    for inputs in self.model.inputs]
          return shapes
  
      @property
    def output_shapes(self) -> list[tuple[None, int, int, int]]:
          """ list: A flattened list corresponding to all of the outputs of the model. """
          shapes = [T.cast(T.Tuple[None, int, int, int], K.int_shape(output))
                    for output in self.model.outputs]
          return shapes
  
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/model.py