code: def log_variables(self):
      super(GAN, self).log_variables()
  
      return
  
file_path: DeepNeuro/deepneuro/models/gan.py
imports: import numpy
  import tensorflow
  import os
  from deepneuro.models.tensorflow_model import TensorFlowModel
  from deepneuro.utilities.util import add_parameter
  from deepneuro.models.blocks import generator, discriminator
  from deepneuro.models.cost_functions import wasserstein_loss
label_desc: Use image node_id 8 for calling the GAN obj's underlying member method code with example usage: obj.log_variables() without return types