code: def _setup_graph(self):
      self.pred = self.trainer.get_predictor(
          ["inputA", "inputB"], ["A_recon/viz", "B_recon/viz"]
      )
  
imports: import argparse
  import glob
  import os
  import tensorflow
  from six.moves import range
  from tensorpack import *
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope
  from tensorpack.tfutils.summary import add_moving_summary
  from GAN import GANModelDesc, GANTrainer
label_desc: Use image node_id 1 for calling the VisualizeTestSet obj's underlying member method code with example usage: obj._setup_graph() without return types