tensorflow_probability/python/edward2/interceptor.py
def interceptable(func):
  """Decorator that wraps `func` so that its execution is intercepted.

  The wrapper passes `func` to the interceptor for the current thread.

  If there is no next interceptor, we perform an "immediate" call to `func`.
  That is, `func` terminates without forwarding its execution to another
  interceptor.

  Args:
    func: Function to wrap.

  Returns:
    The decorated function.
  """
  @functools.wraps(func)
  def func_wrapped(*args, **kwargs):
    with get_next_interceptor() as interceptor:
      return interceptor(func, *args, **kwargs)

  return func_wrapped
def interceptable(func):
  @functools.wraps(func)
  def func_wrapped(*args, **kwargs):
    with get_next_interceptor() as interceptor:
      return interceptor(func, *args, **kwargs)

  return func_wrapped
def interceptable ( func ) : @ functools . wraps ( func ) def func_wrapped ( * args , * * kwargs ) : with get_next_interceptor ( ) as interceptor : return interceptor ( func , * args , * * kwargs ) return func_wrapped
Decorator that wraps `func` so that its execution is intercepted.

  The wrapper passes `func` to the interceptor for the current thread.

  If there is no next interceptor, we perform an "immediate" call to `func`.
  That is, `func` terminates without forwarding its execution to another
  interceptor.

  Args:
    func: Function to wrap.

  Returns:
    The decorated function.
Decorator that wraps func so that its execution is intercepted .