docs: def fixed_gaussian_prior_builder(
      getter, name, dtype=None, *args, **kwargs):
    """A pre-canned builder for fixed gaussian prior distributions.
  
    Given a true `getter` function and arguments forwarded from `tf.get_variable`,
    return a distribution object for a scalar-valued fixed gaussian prior which
    will be broadcast over a variable of the requisite shape.
  
    Args:
      getter: The `getter` passed to a `custom_getter`. Please see the
        documentation for `tf.get_variable`.
      name: The `name` argument passed to `tf.get_variable`.
      dtype: The `dtype` argument passed to `tf.get_variable`.
      *args: See positional arguments passed to `tf.get_variable`.
      **kwargs: See keyword arguments passed to `tf.get_variable`.
  
    Returns:
      An instance of `tfp.distributions.Normal` representing the prior
      distribution over the variable in question.
    """
    del getter  # Unused.
    del args  # Unused.
    del kwargs  # Unused.
    loc = tf.constant(0.0, shape=(), dtype=dtype)
    scale = tf.constant(0.01, shape=(), dtype=dtype)
    return tfp.distributions.Normal(
        loc=loc, scale=scale, name="{}_prior_dist".format(name))