code: def load_model(self, input_model_path, batch_size=1):
      self.build_tensorflow_model(batch_size)
      self.init_sess()
      self.saver.restore(
          self.sess, os.path.join(input_model_path, "model.ckpt")
      )
  
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 6 for calling the GAN obj's underlying member method code with example usage: obj.load_model(input_model_path, batch_size) without return types