code: def setUpClass(cls):
      batch_size = 32
      timestep = 20
      input_dim = 100
  
      cls.x = tf.placeholder(
          dtype=tf.float32,
          shape=[batch_size, timestep, input_dim],
          name="encode_seqs",
      )
      net = model(cls.x, is_train=True, reuse=False)
  
      cls.net_shape = net.outputs.get_shape().as_list()
      cls.n_params = net.count_params()
      net.print_params(False)
  
file_path: TensorLayer/tests/pending/test_layers_time_distributed.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_Time_Distributed_Test obj's underlying member method code with example usage: obj.setUpClass(cls) without return types