class_docstr: Utility distribution to cast inputs/outputs of another distribution.
class_docstr_tok: ["Utility","distribution","to","cast","inputs\/outputs","of","another","distribution","."]
code: def _event_shape_tensor(self):
      return self._distribution.event_shape_tensor()
  
imports: import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import joint_distribution_sequential
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensorshape_util
label_desc: Use image node_id 5 for calling the _NonCompositeTensorCast obj's underlying member method code with example usage: obj._event_shape_tensor() and returns: self