code: def save(self, path):
      if path is None:
          path = os.path.join("model", "_".join([alg_name, env_id]))
      if not os.path.exists(path):
          os.makedirs(path)
      tl.files.save_weights_to_hdf5(
          os.path.join(path, "q_net.hdf5"), self.qnet
      )
  
imports: import argparse
  import operator
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 5 for calling the DQN obj's underlying member method code with example usage: obj.save(path) without return types