docstr: Get all the trainable variables from the graph
  
  :return: ([tf.Tensor]) the variables
docstr_tok: ["Get","all","the","trainable","variables","from","the","graph",":","return",":","(","[","tf.Tensor","]",")","the","variables"]
code: def get_trainable_variables(self):
      """
      Get all the trainable variables from the graph
  
      :return: ([tf.Tensor]) the variables
      """
      return tf.get_collection(
          tf.GraphKeys.TRAINABLE_VARIABLES, self.scope
      )
  
file_path: stable-baselines/stable_baselines/gail/adversary.py
imports: import gym
  import tensorflow
  import numpy
  from stable_baselines.common.mpi_running_mean_std import RunningMeanStd
  from stable_baselines.common import tf_util
label_desc: Use image node_id 3 for calling the TransitionClassifier obj's underlying member method code with example usage: obj.get_trainable_variables() and returns: tf