          -------
          Tensor
              The output tensor from the Upscale Layer
          """
          var_x = LeakyReLU(alpha=0.2, name="{}_leakyrelu_0".format(self._name))(inputs)
          if self._use_reflect_padding:
              var_x = ReflectionPadding2D(stride=1,
                                          kernel_size=self._kernel_size,
                                          name="{}_reflectionpadding2d_0".format(self._name))(var_x)
          var_x = Conv2D(self._filters,
 
</s> remove     """ Upscale block that uses the Keras Backend function resize_images to perform the upscaling
    Similar in methodolgy to the :class:`Upscale2xBlock`
 </s> add     """ Upscale block that uses the Keras Backend function resize_images to perform the up scaling
    Similar in methodology to the :class:`Upscale2xBlock`
        var_x = inputs
          -------
          Tensor
              The output tensor from the Upscale Layer
          """
        var_x = inputs
          if self._use_reflect_padding:
              var_x = ReflectionPadding2D(stride=1,
                                          kernel_size=self._kernel_size,
                                          name="{}_reflectionpadding2d_0".format(self._name))(var_x)
          var_x = Conv2D(self._filters,
keep keep keep keep replace keep keep keep keep keep
 Fixups:
  - lib.gui.display - Catch error when trying to delete non-existant notebook tabs
  - lib.model.nn_blocks.ResidualBlock: Remove first LeakyReLU (explicit > implicit)
  - lib.model.nn_blocks._get_default_initializer - Always use ConvAware if selected
  - plugins.model.model - Add explicit leakyReLUs for ResBlocks 
lib/model/nn_blocks.py