              print ("Generator models loaded.")
          except:
              print ("Generator weights files not found.")
              pass
          return netGA, netGB
  
      def build_discriminator(self):
          def conv_block_d(input_tensor, f, use_instance_norm=True):
 
</s>

        if self.gpus > 1:
            netGA = multi_gpu_model( self.netGA_sm , self.gpus)
            netGB = multi_gpu_model( self.netGB_sm , self.gpus)


              print ("Generator models loaded.")
          except:
              print ("Generator weights files not found.")
              pass

        if self.gpus > 1:
            netGA = multi_gpu_model( self.netGA_sm , self.gpus)
            netGB = multi_gpu_model( self.netGB_sm , self.gpus)

          return netGA, netGB
  
      def build_discriminator(self):
          def conv_block_d(input_tensor, f, use_instance_norm=True):
keep keep keep add keep keep keep keep
 Fix broken multigpu GAN loading. (#280)

* Fix broken multigpu GAN loading.

Fix for loading into the multi GPU model when it needs to load/save the original model.

* Move reference change.

Move reference change for single model so it is defined before load

* Add mutliGPU support to GAN128

Added support for mutligpu to GAN128
plugins/Model_GAN128/Model.py