class_docstr: Creating Q-graph, FGSM graph
  Supports loading multiple graphs - needed for blackbox attacks
class_docstr_tok: ["Creating","Q-graph",",","FGSM","graph","Supports","loading","multiple","graphs","-","needed","for","blackbox","attacks"]
code: def get_act(self):
      return self.act
  
imports: import argparse
  import gym
  import os
  import numpy
  from gym.monitoring import VideoRecorder
  import rlattack.common.tf_util
  from rlattack import deepq
  from rlattack.common.misc_util import boolean_flag, SimpleMonitor
  from rlattack.common.atari_wrappers_deprecated import wrap_dqn
  import tensorflow
  import cv2
  from collections import deque
  from model import model, dueling_model
  from statistics import statistics
label_desc: Use image node_id 2 for calling the DQNModel obj's underlying member method code with example usage: obj.get_act() and returns: self