class_docstr: Default bijector for constraining the diagonal of scale matrices.
code: def _inverse_log_det_jacobian(self, y):
      return tf.zeros([], dtype_util.base_dtype(y.dtype))
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import fill_scale_tril
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import nest_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import trainable_state_util
  from tensorflow.python.util import nest
label_desc: Use image node_id 4 for calling the _DefaultScaleDiagonal obj's underlying member method code with example usage: obj._inverse_log_det_jacobian(y) and returns: tf