code: def get_model(inputs_shape):
      ni = tl.layers.Input(inputs_shape)
      nn = tl.layers.Dense(n_units=H, act=tf.nn.relu, name="hidden")(ni)
      nn = tl.layers.Dense(n_units=3, name="output")(nn)
      M = tl.models.Model(inputs=ni, outputs=nn, name="mlp")
      return M
  
imports: import time
  import gym
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 2 for calling a global function with example usage: get_model(inputs_shape) and returns: M