class_docstr: Monitors layer calls to the divergence implementation.
class_docstr_tok: ["Monitors","layer","calls","to","the","divergence","implementation","."]
code: def __call__(self, *args, **kwargs):
      self.called()
      self.args.append(args)
      return self.result
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.layers import dense_variational
  from tensorflow_probability.python.layers import util
  from tensorflow_probability.python.random import random_ops
  from tensorflow_probability.python.util import seed_stream
label_desc: Use image node_id 2 for calling the MockKLDivergence obj's underlying member method code with example usage: obj.__call__() and returns: self