code: def setUpClass(cls):
      cls.x1 = tf.placeholder(tf.float32, [None, 5, 5, 3])
      cls.x2 = tf.placeholder(tf.float32, [8, 5, 5, 3])
      cls.X1 = np.ones([127, 5, 5, 3])
      cls.X2 = np.ones([7, 5, 5, 3])
      cls.batch_size = 8
  
file_path: TensorLayer/tests/pending/test_utils_predict.py
imports: import os
  import unittest
  import numpy
  import tensorflow
  import tensorlayer
  from tests.utils import CustomTestCase
label_desc: Use image node_id 1 for calling the Util_Predict_Test obj's underlying member method code with example usage: obj.setUpClass(cls) without return types