class_docstr: Event space bijector for Masked distributions.
class_docstr_tok: ["Event","space","bijector","for","Masked","distributions","."]
code: def _inverse_event_shape_tensor(self, y):
      return self._bijector.inverse_event_shape_tensor(y)
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.distributions import batch_broadcast
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import log_prob_ratio
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensor_util
label_desc: Use image node_id 5 for calling the _NonCompositeTensorMaskedBijector obj's underlying member method code with example usage: obj._inverse_event_shape_tensor(y) and returns: self