class_docstr: Bijector to associate a numeric inverse with any invertible function.
class_docstr_tok: ["Bijector","to","associate","a","numeric","inverse","with","any","invertible","function","."]
docstr: Forward `fn` with any extra args bound, so that `y = bound_fn(x)`.
docstr_tok: ["Forward","`","fn","`","with","any","extra","args","bound",",","so","that","`","y","=","bound_fn","(","x",")","`","."]
code: def bound_fn(self):
      """Forward `fn` with any extra args bound, so that `y = bound_fn(x)`."""
      return self._bound_fn
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.internal import callable_util
  from tensorflow_probability.python.internal import custom_gradient
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math import root_search
label_desc: Use image node_id 7 for calling the ScalarFunctionWithInferredInverse obj's underlying member method code with example usage: obj.bound_fn() and returns: self