          """
          var_x = inputs
          filters = self._config["fs_original_min_filters"]
          for i in range(self._depth):
              var_x = Conv2DBlock(filters, activation="leakyrelu", name=f"fs_enc_convblk_{i}")(var_x)
              filters = min(self._config["fs_original_max_filters"], filters * 2)
          return var_x
  
  
  class FullyConnected():  # pylint:disable=too-few-public-methods
 
</s> remove             var_x = LeakyReLU(alpha=0.1)(var_x)
 </s> add             if not self._is_dny:
                var_x = LeakyReLU(alpha=0.1)(var_x) </s> remove def _get_upscale_layer(method: str,
 </s> add def _get_upscale_layer(method: Literal["resize_images", "subpixel", "upscale_dny", "upscale_fast",
                                       "upscale_hybrid", "upsample2d"],
            name = f"fs_{'dny_' if self._is_alt else ''}enc"
            var_x = Conv2DBlock(filters,
                                kernel_size=self._kernel_size,
                                strides=self._strides,
                                relu_alpha=self._relu_alpha,
                                name=f"{name}_convblk_{i}")(var_x)
          """
          var_x = inputs
          filters = self._config["fs_original_min_filters"]
          for i in range(self._depth):
            name = f"fs_{'dny_' if self._is_alt else ''}enc"
            var_x = Conv2DBlock(filters,
                                kernel_size=self._kernel_size,
                                strides=self._strides,
                                relu_alpha=self._relu_alpha,
                                name=f"{name}_convblk_{i}")(var_x)
              filters = min(self._config["fs_original_max_filters"], filters * 2)
          return var_x
  
  
  class FullyConnected():  # pylint:disable=too-few-public-methods
keep keep keep keep replace keep keep keep keep keep
 Phaze-A - Updates for future implementations 
plugins/train/model/phaze_a.py