class_docstr: The log-normal distribution.
class_docstr_tok: ["The","log-normal","distribution","."]
code: def _variance(self):
      variance = self.distribution.variance()
      return tf.math.expm1(variance) * tf.exp(
          2.0 * self.distribution.mean() + variance
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.util.deferred_tensor import DeferredTensor
label_desc: Use image node_id 8 for calling the LogNormal obj's underlying member method code with example usage: obj._variance() and returns: unknown