code: def _tderror_func(self, b_o, b_a, b_r, b_o_, b_d):
      if double:
          b_a_ = tf.one_hot(tf.argmax(self.qnet(b_o_), 1), out_dim)
          b_q_ = (1 - b_d) * tf.reduce_sum(
              self.targetqnet(b_o_) * b_a_, 1
          )
      else:
          b_q_ = (1 - b_d) * tf.reduce_max(self.targetqnet(b_o_), 1)
  
      b_q = tf.reduce_sum(self.qnet(b_o) * tf.one_hot(b_a, out_dim), 1)
      return b_q - (b_r + reward_gamma * b_q_)
  
imports: import argparse
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 6 for calling the DQN obj's underlying member method code with example usage: obj._tderror_func(b_o, b_a, b_r, b_o_, b_d) and returns: unknown