tensorflow_probability/python/internal/prefer_static.py
def _copy_docstring(original_fn, new_fn):
  """Wraps new_fn with the doc of original_fn."""
  original_spec = tf_inspect.getfullargspec(original_fn)
  new_spec = tf_inspect.getfullargspec(new_fn)
  if original_spec != new_spec:
    raise ValueError(
        'Arg specs do not match: original={}, new={}, fn={}'.format(
            original_spec, new_spec, original_fn))
  @decorator.decorator
  def wrap(wrapped_fn, *args, **kwargs):
    del wrapped_fn
    return new_fn(*args, **kwargs)
  return wrap(original_fn)
def _copy_docstring(original_fn, new_fn):
  """Wraps new_fn with the doc of original_fn."""
  original_spec = tf_inspect.getfullargspec(original_fn)
  new_spec = tf_inspect.getfullargspec(new_fn)
  if original_spec != new_spec:
    raise ValueError(
        'Arg specs do not match: original={}, new={}, fn={}'.format(
            original_spec, new_spec, original_fn))
  @decorator.decorator
  def wrap(wrapped_fn, *args, **kwargs):
    del wrapped_fn
    return new_fn(*args, **kwargs)
  return wrap(original_fn)
def _copy_docstring ( original_fn , new_fn ) : original_spec = tf_inspect . getfullargspec ( original_fn ) new_spec = tf_inspect . getfullargspec ( new_fn ) if original_spec != new_spec : raise ValueError ( 'Arg specs do not match: original={}, new={}, fn={}' . format ( original_spec , new_spec , original_fn ) ) @ decorator . decorator def wrap ( wrapped_fn , * args , * * kwargs ) : del wrapped_fn return new_fn ( * args , * * kwargs ) return wrap ( original_fn )
Wraps new_fn with the doc of original_fn.
Wraps new_fn with the doc of original_fn .