code: def forward(self, ni):
      qvalues = self.qvalue(self.h1(ni))
      return tf.nn.log_softmax(self.reshape(qvalues), 2)
  
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 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(ni) and returns: tf