class_docstr: Default bijector for constraining the diagonal of scale matrices.
code: def __init__(self):
      parameters = dict(locals())
      name = "default_scale_diagonal"
      with tf.name_scope(name) as name:
          super(_DefaultScaleDiagonal, self).__init__(
              forward_min_event_ndims=0,
              validate_args=False,
              parameters=parameters,
              name=name,
          )
  
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 1 to create a new _DefaultScaleDiagonal object from inherited base classes: bijector_lib with example: obj = _DefaultScaleDiagonal()