      encoded_dim = 1024
      nc_in = 3 # number of input channels of generators
      nc_D_inp = 6 # number of input channels of discriminators
  
      def __init__(self, model_dir):
          self.model_dir = model_dir
  
          optimizer = Adam(1e-4, 0.5)
  
          # Build and compile the discriminator
 
</s> remove         if self.gpus > 1:
            netGA = multi_gpu_model( netGA , self.gpus)
            netGB = multi_gpu_model( netGB , self.gpus)
 </s> add         self.netGA_sm = netGA
        self.netGB_sm = netGB

    def __init__(self, model_dir, gpus):

      encoded_dim = 1024
      nc_in = 3 # number of input channels of generators
      nc_D_inp = 6 # number of input channels of discriminators
  
    def __init__(self, model_dir, gpus):
          self.model_dir = model_dir
  
          optimizer = Adam(1e-4, 0.5)
  
          # Build and compile the discriminator
keep keep keep keep replace keep 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