code: def get_trainable_variables(self):
      return tf.get_collection(
          tf.GraphKeys.TRAINABLE_VARIABLES, self.scope
      )
  
file_path: baselines/baselines/gail/mlp_policy.py
imports: import tensorflow
  import gym
  import baselines.common.tf_util
  from baselines.common.mpi_running_mean_std import RunningMeanStd
  from baselines.common.distributions import make_pdtype
  from baselines.acktr.utils import dense
label_desc: Use image node_id 5 for calling the MlpPolicy obj's underlying member method code with example usage: obj.get_trainable_variables() and returns: tf