class_docstr: Bijector constructed from custom callables.
  
  Example Use:
  
  ```python
  exp = Inline(
      forward_fn=tf.exp,
      inverse_fn=tf.math.log,
      inverse_log_det_jacobian_fn=lambda y: -tf.math.log(y),
      forward_min_event_ndims=0,
      is_increasing=True,
      name='exp')
  ```
  
  The above example is equivalent to the `Bijector` `Exp()`.
code: def _parameter_properties(cls, dtype):
      return dict()
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
label_desc: Use image node_id 2 for calling the Inline obj's underlying member method code with example usage: obj._parameter_properties(cls, dtype) and returns: dict