tensorflow_probability/python/internal/special_math.py
def ndtri(p, name="ndtri"):
  """The inverse of the CDF of the Normal distribution function.

  Returns x such that the area under the pdf from minus infinity to x is equal
  to p.

  A piece-wise rational approximation is done for the function.
  This is a port of the implementation in netlib.

  Args:
    p: `Tensor` of type `float32`, `float64`.
    name: Python string. A name for the operation (default="ndtri").

  Returns:
    x: `Tensor` with `dtype=p.dtype`.

  Raises:
    TypeError: if `p` is not floating-type.
  """

  with tf.name_scope(name):
    p = tf.convert_to_tensor(value=p, name="p")
    if dtype_util.as_numpy_dtype(p.dtype) not in [np.float32, np.float64]:
      raise TypeError(
          "p.dtype=%s is not handled, see docstring for supported types."
          % p.dtype)
    return _ndtri(p)
def ndtri(p, name="ndtri"):
  with tf.name_scope(name):
    p = tf.convert_to_tensor(value=p, name="p")
    if dtype_util.as_numpy_dtype(p.dtype) not in [np.float32, np.float64]:
      raise TypeError(
          "p.dtype=%s is not handled, see docstring for supported types."
          % p.dtype)
    return _ndtri(p)
def ndtri ( p , name = "ndtri" ) : with tf . name_scope ( name ) : p = tf . convert_to_tensor ( value = p , name = "p" ) if dtype_util . as_numpy_dtype ( p . dtype ) not in [ np . float32 , np . float64 ] : raise TypeError ( "p.dtype=%s is not handled, see docstring for supported types." % p . dtype ) return _ndtri ( p )
The inverse of the CDF of the Normal distribution function.

  Returns x such that the area under the pdf from minus infinity to x is equal
  to p.

  A piece-wise rational approximation is done for the function.
  This is a port of the implementation in netlib.

  Args:
    p: `Tensor` of type `float32`, `float64`.
    name: Python string. A name for the operation (default="ndtri").

  Returns:
    x: `Tensor` with `dtype=p.dtype`.

  Raises:
    TypeError: if `p` is not floating-type.
The inverse of the CDF of the Normal distribution function .