code: def setUpClass(cls):
      # define placeholder
      cls.x = tf.placeholder(tf.float32, shape=[None, 784], name="x")
  
      # define inferences
      mlp(cls.x, is_train=True, reuse=False)
      mlp(cls.x, is_train=False, reuse=True)
  
file_path: TensorLayer/tests/pending/test_reuse_mlp.py
imports: import os
  import unittest
  import tensorflow
  import tensorlayer
  from tests.utils import CustomTestCase
label_desc: Use image node_id 1 for calling the MLP_Reuse_Test obj's underlying member method code with example usage: obj.setUpClass(cls) without return types