code: def test_shuffle(self):
      class CustomizeModel(tl.models.Model):
          def __init__(self, x):
              super(CustomizeModel, self).__init__()
              self.shuffle = tl.layers.Shuffle(x)
  
          def forward(self, x):
              return self.shuffle(x)
  
      model = CustomizeModel(2)
      print(model.shuffle)
      model.train()
      out = model(self.imgdata)
      self.assertEqual(out.get_shape().as_list(), [2, 16, 16, 8])
      try:
          model_fail = CustomizeModel(3)
          print(model_fail.shuffle)
          model_fail.train()
          out = model_fail(self.imgdata)
          self.assertEqual(out.get_shape().as_list(), [2, 16, 16, 8])
      except Exception as e:
          self.assertIsInstance(e, ValueError)
          print(e)
  
file_path: TensorLayer/tests/layers/test_layers_shape.py
imports: import os
  import unittest
  import numpy
  import tensorflow
  import tensorlayer
  from tests.utils import CustomTestCase
label_desc: Use image node_id 6 for calling the Layer_Shape_Test obj's underlying member method code with example usage: obj.test_shuffle() and returns: self