                              padding="same",
                              relu_alpha=0.2)(var_x)
          return var_x
  
      def __call__(self, inputs: Tensor | list[Tensor]) -> Tensor | list[Tensor]:
          """ Upscale Network.
  
          Parameters
          inputs: Tensor or list of tensors
              Input tensor(s) to upscale block. This will be a single tensor if learn mask is not
 
</s> remove     def build_model(self, inputs: list[Tensor]) -> keras.models.Model:
 </s> add     def build_model(self, inputs: list[tf.Tensor]) -> tf.keras.models.Model: </s> remove                        interpolation: str | None = None) -> keras.layers.Layer:
 </s> add                        interpolation: str | None = None) -> tf.keras.layers.Layer: </s> remove     def _dny_entry(self, inputs: Tensor) -> Tensor:
 </s> add     def _dny_entry(self, inputs: tf.Tensor) -> tf.Tensor: </s> remove     def _do_upsampling(self, inputs: Tensor) -> Tensor:
 </s> add     def _do_upsampling(self, inputs: tf.Tensor) -> tf.Tensor: </s> remove                 inputs: dict[str, list[keras.models.Model]]
            ) -> dict[str, list[keras.models.Model] | keras.models.Model]:
 </s> add                 inputs: dict[str, list[tf.keras.models.Model]]
            ) -> dict[str, list[tf.keras.models.Model] | tf.keras.models.Model]:
    def __call__(self, inputs: tf.Tensor | list[tf.Tensor]) -> tf.Tensor | list[tf.Tensor]:
                              padding="same",
                              relu_alpha=0.2)(var_x)
          return var_x
  
    def __call__(self, inputs: tf.Tensor | list[tf.Tensor]) -> tf.Tensor | list[tf.Tensor]:
          """ Upscale Network.
  
          Parameters
          inputs: Tensor or list of tensors
              Input tensor(s) to upscale block. This will be a single tensor if learn mask is not
keep keep keep keep replace keep keep keep keep keep
 Updates:
    - Remove clipfaker
    - Add clip to Phaze-A
    - streamline clip to vision only
    - update lib.model.networks
    - Docs and tests update
    - Phaze-A - add option to flatten bottleneck 
plugins/train/model/phaze_a.py