code: def test_activity_regularization(self):
      x = Normal(
          loc=tf.zeros([100, 10, 5]), scale=tf.ones([100, 10, 5])
      )
      y = layers.ActivityRegularization(l1=0.1)(x.value())
  
file_path: edward/tests/models/keras_core_layers_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import keras.layers
  import tensorflow
  from edward.models import Normal
label_desc: Use image node_id 9 for calling the test_keras_core_layers_class obj's underlying member method code with example usage: obj.test_activity_regularization() without return types