code: def setUpClass(cls):
      x = tf.placeholder(tf.float32, [None, 100, 100, 3])
  
      net_train = model(x, is_train=True, reuse=False)
      net_eval = model(x, is_train=False, reuse=True)
  
      net_train.print_layers()
      net_train.print_params(False)
  
      cls.data = dict()
      cls.data["train_network"] = dict()
      cls.data["eval_network"] = dict()
  
      cls.data["train_network"]["layers"] = net_train.all_layers
      cls.data["eval_network"]["layers"] = net_eval.all_layers
  
      cls.data["train_network"]["params"] = net_train.all_params
  
      cls.data["train_network"]["n_params"] = net_train.count_params()
  
      print(net_train.count_params())
  
file_path: TensorLayer/tests/pending/test_layers_normalization.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 Layer_Normalization_Test obj's underlying member method code with example usage: obj.setUpClass(cls) without return types