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  1. d_error = (1/2)*((D(real_data)-1)**2) + (1/2)*((D(gen_data)-0)**2)
  2. d_error = torch.mean(d_error)
  3.  
  4. g_error = (1/2)*((D(gen_data)-1)**2)
  5. g_error = torch.mean(g_error)
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