                              kernel_size=kernel_size,
                              padding=padding,
                              force_initializer=True,
                              **kwargs)
          self.switch_kernel_initializer(kwargs, original_init)
          var_x = Add()([var_x, inp])
          var_x = LeakyReLU(alpha=0.2)(var_x)
          return var_x
  
      # <<< Unbalanced Model Blocks >>> #
 
</s> remove                             force_initializer=True,
 </s> add  </s> remove         original_init = self.switch_kernel_initializer(kwargs, VarianceScaling(
            scale=0.2,
            mode="fan_in",
            distribution="uniform"))
 </s> add  </s> remove from keras.initializers import he_uniform, VarianceScaling
 </s> add from keras.initializers import he_uniform </s> remove         original = kwargs["kernel_initializer"]
 </s> add         original = kwargs.get("kernel_initializer", None)
                              kernel_size=kernel_size,
                              padding=padding,
                              force_initializer=True,
                              **kwargs)

          var_x = Add()([var_x, inp])
          var_x = LeakyReLU(alpha=0.2)(var_x)
          return var_x
  
      # <<< Unbalanced Model Blocks >>> #
keep keep keep keep replace keep keep keep keep keep
 Remove he_uniform from init from res block and use FS default 
lib/model/nn_blocks.py