                              **kwargs)
          if self.use_icnr_init:
              self.switch_kernel_initializer(kwargs, original_init)
          if use_instance_norm:
              var_x = InstanceNormalization()(var_x)
          if not res_block_follows:
              var_x = LeakyReLU(0.1)(var_x)
          if self.use_subpixel:
              var_x = SubPixelUpscaling()(var_x)
          else:
 
</s> remove             var_x = LeakyReLU(0.1)(var_x)
 </s> add             var_x = LeakyReLU(0.1, name="{}_leakyrelu".format(name))(var_x) </s> remove             var_x = SubPixelUpscaling()(var_x)
 </s> add             var_x = SubPixelUpscaling(name="{}_subpixel".format(name))(var_x) </s> remove             var_x = InstanceNormalization()(var_x)
 </s> add             var_x = InstanceNormalization(name="{}_instancenorm".format(name))(var_x) </s> remove             var_x = LeakyReLU(0.1)(var_x)
 </s> add             var_x = LeakyReLU(0.1, name="{}_leakyrelu".format(name))(var_x)
            var_x = InstanceNormalization(name="{}_instancenorm".format(name))(var_x)
                              **kwargs)
          if self.use_icnr_init:
              self.switch_kernel_initializer(kwargs, original_init)
          if use_instance_norm:
            var_x = InstanceNormalization(name="{}_instancenorm".format(name))(var_x)
          if not res_block_follows:
              var_x = LeakyReLU(0.1)(var_x)
          if self.use_subpixel:
              var_x = SubPixelUpscaling()(var_x)
          else:
keep keep keep keep replace keep keep keep keep keep
 Model Structure Changes

Standardize inputs for AutoEncoders
Name outputs from AutoEncoders
Name layers in nn_blocks.py 
lib/model/nn_blocks.py