code: def test_exception(cls):
      cls.batch_size = 5
      cls.inputs_shape = [cls.batch_size, 400, 400, 3]
      cls.input_layer = Input(cls.inputs_shape, name="input_layer")
  
      try:
          cls.n1 = tl.layers.Conv2dLayer(
              act="activation",
              shape=(5, 5, 3, 32),
              strides=(1, 2, 2, 1),
              padding="SAME",
              b_init=tf.constant_initializer(value=0.0),
              name="conv2dlayer",
          )(cls.input_layer)
      except Exception as e:
          cls.assertIsInstance(e, Exception)
          print(e)
  
imports: import os
  import unittest
  import tensorflow
  import tensorlayer
  from tensorlayer.layers import *
  from tensorlayer.models import *
  from tests.utils import CustomTestCase
label_desc: Use image node_id 2 for calling the Exception_test obj's underlying member method code with example usage: obj.test_exception(cls) without return types