          The number of filters to use in the upscale layer
      activation: str, optional
          The activation function to use in the upscale layer. ``None`` to use no activation.
          Default: ``None``
  
      Returns
      -------
      :class:`keras.layers.Layer`
 
</s> remove         rounding=128,
 </s> add         rounding=64, </s> remove         min_max=(64, 512),
        rounding=64,
 </s> add         min_max=(16, 512),
        rounding=16, </s> remove         min_max=(1, 16),
 </s> add         min_max=(0, 16), </s> remove         min_max=(64, 2048),
 </s> add         min_max=(16, 2048),
    upsamples: int, optional
        Only used for UpSampling2D. If provided, then this is passed to the layer as the ``size``
        parameter. Default: ``None``
    interpolation: str, optional
        Only used for UpSampling2D. If provided, then this is passed to the layer as the
        ``interpolation`` parameter. Default: ``None``
          The number of filters to use in the upscale layer
      activation: str, optional
          The activation function to use in the upscale layer. ``None`` to use no activation.
          Default: ``None``
    upsamples: int, optional
        Only used for UpSampling2D. If provided, then this is passed to the layer as the ``size``
        parameter. Default: ``None``
    interpolation: str, optional
        Only used for UpSampling2D. If provided, then this is passed to the layer as the
        ``interpolation`` parameter. Default: ``None``
  
      Returns
      -------
      :class:`keras.layers.Layer`
keep keep keep add keep keep keep keep
 Model updates
- Increase model summary width
- Phaze A updates
  - Update some min/max values
  - Add Decoder Filter Slope Mode
  - Add additional arguments for Upsampling2D
  - Adjust upsampling method for multiple upsamples in FC layers
  - Typing 
plugins/train/model/phaze_a.py